Plan for Success

Are you designing and developing a new product for future wireless market?  If so, do you have to anticipate what the market look like in couple of years?

You are not alone in this journey and anyone with this challenge has to make some calls now and wait to see it bears fruit.

Unless you are part of big corporation with returning customers with specific request which allows you to design those feasible requirements into the new product roadmap, you have some blind views which would impact your new product.

Many new products do not make it to volume productions or global market with target ROI just because of over or under specifications.

Partner with ORTENGA to research market roadmap with Systems Engineering know how to define a marketable and cost effective product.

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Posted on January 7, 2019 

What are the Criteria for Startups to be acquired by a Bigger Company?

In high tech industry, every year many small startups companies are being acquired by bigger and profitable organizations.  What triggers these big companies to acquire Startups can typically be summarized in 3 major criteria.


First the startup has to have a new technology which would have use cases in the market space and uniquely positioned to surpass any other competitor that may exist.


The new technology should bear fruit by less than 2 years.  This timeline includes from acquisition to final product in the hands of end users and customers.


The new technology development should increase the bigger company bottom line with healthy margin and be synergic by complementing big company products portfolio.

In practice, many of the big companies have already invested into the startups prior to acquisition and know them inside out.  The big company knows the issues/challenges and already have concrete plan in addressing them while acquired.

Startup Valuation

Obviously for this acquisition to be successful and smooth transition, the founders of startups must be on board.  Every startup has venture capitalist that owns a significant portion of the organization, both people on top and new Intellectual Properties, IP.  The investor has to be satisfied with the return of their investments plus expected profit while they know by prolonging the transaction would not bring them any more value on their investments.  The biggest assets of any Startup are its IP.  The IP consists of existing and incoming patents and most importantly the engineering that designed and developed the new product.

The preparation prior to acquisition could take between 3 to 6 months.

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Posted on January 5, 2019 

Product Over and/or Under Specifications

Do you have a new product that does not sale as it was anticipated?

If so, you are facing an issue which many companies especially startups has.  The new product is either Under Specified for features and metrics that the market needs, or if it costs more than what market wants to pay, it is Over Specified for some other parameters.

In case of many startups with a new product, they can both miss the required feature sets as well as over specifying some parameters such that the unit cost is much more than what the market is willing to pay.  Therefore, they are facing with the product that does not sell and even with marked down prices and/or discounts, the product can’t be sold with any margin, therefore it is bottom line loss and drives the product to extinction.

You can always fix a design issue with another revision, however product mis-definition cannot be fixed with another revision.

Product definition is the most important part of any new product, especially for new technology and/or market.  It requires system engineering with business acumen to research and define marketable feature sets with specific use cases and cost target in mind.

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Posted on January 2, 2019 

Finding an Application for a New Technology

Every startup company which is introducing a new technology must find an application for their product.  The key to their success is to find an application which is not only at least solving a problem, but also it is at additional cost that the market is willing to pay for.  This phenomenon exists for every new technology and typically handful of competing startups has a variation of the new technology.  The difference between make or break for successful startup company is the product definition which has market traction.

Some startups make the market expectations and become popular after their product is introduced.

Another portions of the startups have partial product, that means, the standalone product by itself will not be viable end user product, yet, with additional features and/or integration can be a viable product.  In those cases, the startups are being acquired by bigger and more established businesses for the integration into streamline product.  These startups are still successful in returning the investment.

The startups which end on the bottom are the one that their product cannot attract end user or big business for sustainable product.  Eventually, they run out funding and go out of business.

Successful products out of new technology are realized by system engineers with business acumen.

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Posted on December 29, 2018 

Product Definition Challenges

In technical industry, any new product definition has a great deal in “make” or “break”, i.e. success in its market.

In other words, the most important contributor of any new product for technical market is its feature sets.  Some products come short of having all required features that the market would need at the time of introduction.  Other products have adequate features, yet come short of a single and driving feature for many economy valued market, competitive cost.

This is a big risk which is particularly exacerbated for any startup company that relies on a single product to be introduced into the market.

In order to reduce that risk and go to market with competitive product, product definer should acquire inputs from every source that is in her/is disposal.  The resources are not only comes from business development for target market and required cost, technical design for feasibility of making the product, but most importantly from systems engineering expertise that looks at product in much bigger context.  Specially, if the system engineer has business acumen, it is certainly helpful to capture all inputs from him/er, before settling on the product features.

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Posted on December 20, 2018 

Device Technology Push for mmW Bands

CMOS technology has been the technology of choice for baseband digital and mixed signaling for number of decades.  In that past decade, CMOS was utilized for some of RF transceivers.

As radio transceivers go into mmW bands, the use of CMOS for RF signaling becomes limited and III-V compound technology are required to meet the specifications.  The following chart illustrates the Maximum Stable Gain, MSG comparison for CMOS vs. III-V compound technologies over the next few years.

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Posted on December 14, 2018 

5G UE Devices’ Sensors

The mobile handheld devices are getting more advances year after year.  In addition to the datarate and/or speed of the mobile device, there are other peripheral sensors that make them smarter and useful for many applications beside the legacy use.

The following chart shows the estimated percentage of 5G compliant Handheld Mobile Devices’ Sensors.

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Posted on December 14, 2018 

KOKUSHO Patent & IP law firm

The consultancy service for inventors (typically provided by patent attorneys) for enhancing technological level of their ideas (brushing up their invention) is important but some renewal is required with respect to the consulting methodologies for such purpose.  We have researched traditional approaches such as TRIZ, Mind Map and KJ method and found that novel approach is required for simplifying the technological analysis while making easier to achieve the effective brushing up of the invention.  More specifically, such approach for invention brushing up should be more straight forward and can be directly applied to the inventions conceived for filing patent applications.

For more detail, refer to the link below.

The new approach is innovative in the following respect.

(Phase-1): First, brushing up is performed on theoretical fundamentals such as mathematic modeling or mathematic formulation to establish the enhanced or strengthened version of theoretical fundamentals (for example, optimizing a style of mathematic modeling so as to best fit to the problem domain the client’s invention attempts to deal with).

(Phase-2): And then, on the basis of the enhanced or strengthened version of theoretical fundamentals (such as the further optimized version of mathematic modeling) as mentioned above, engineering level improvements such as technological enhancements or technological improvements are made in the engineering aspect (in view of engineering application or industrial application of technology) of the client’s invention.

Thus, according to our novel approach, the technological level of the invention can be much further elevated, in comparison to that of the conventional approach. Such advantage of our novel approach can be achieved by making the technical enhancement or improvement in the level of engineering application on the basis of the enhanced or improved version of the theoretical modeling or the theoretical formulation.

As a result, some kind of breakthrough can be achieved in terms that our novel approach can surpass the upper limitation of invention brushing up that the conventional approach can never overcome.

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Posted on December 11, 2018 

DLL vs. PLL       

Delay-Locked Loop, DLL, and Phase-Locked Loop, PLL, are used to phase lock an output to an input signal source.

DLL consists of delay line, multiplier, LPF, and feedback, whereas PLL consists of multiplier, LPF, VCO, and divider feedback.

The sources of added phase noise are multiplier and delay line for DLL, whereas in the case of PLL, in addition to multiplier and divider, the VCO is also source of added phase noise.

Therefore, DLL has better phase noise performance and lower sensitivity to supply noise.

DLL is meant for phase-locked in the baseband, whereas PLL can be used in the radio front end and the output could be much higher frequency than input signal.

Both DLL and PLL are used for carrier tracking and synchronization.

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Posted on December 10 2018 

What is eSIM?

The electronic Subscriber Identification Module, aka, eSIM is new provisioning technology to configure and enable HW/SW of a mobile device before it can connect and be used with local carrier or service provider.

SIM is a legacy technique that enables phone and mobile devices for a particular region/geography under a carrier/service provider.  However, it falls short of providing global coverage when you decide to travel, unless you physically replace one SIM card with another.

Major carriers are looking into eSIM to enable their customers with global mobile device and harness additional business by partnering with distant carriers.

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Posted on December 3 2018 

Post Design Validation

In the fast growing and changing consumer market, the need for validating design in few months has become the difference between high vs. low margin or even business opportunity at all for many manufacturers.

Traditionally, the product development teams make a list of features and metrics that they like to be tested in post design phase.  With the advancement and sophistication of many technologies, to verify that complete list, it will take months if not a year to exhaust all possible features and metrics of the product.

The traditional post validation technique is based on the Black Box assumption.   In other words, the validation team treats all the features and metrics equal in risk table.  That is saying the probability of any of the features and metrics failing during the test is equal, hence uniform failure rate.  That is erroneous assumption which cost the company resources and time to market, TTM.  Estimating resources or TTM wrong, it is either low or no margin at all.

Successful companies, the one which introduce their product to market first without issues, utilize Design of Experiment, DOE methodology.  The DOE is realistic about the probability of failure and does not assume uniform failure rate.

For instance the phone, UE, ODM industry releases 2 phones per year, one in June and the other in December.  June release requires December SoC, RFIC, PMIC, and ASIC production readiness.  This is well known to all vendors and they pretty much starts developing competing technology at the same time.  Some are able to make it before the deadline and others miss that, and the difference is the methodology for validating the design.

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Posted on November 30 2018 

What is 6G and when will it arrive?

Wireless industry visionaries are already talking about 6G, even though 5G has not launched.  From the outset, it sounds like hypes than anything realistic and it may very well be not materializing the way it appears now.  In spite of that, let’s put on the same goggle and walk in to future and see what is there.

So far, every generation of wireless communication standards were based on increasing the capacity and speeding up the network connectivity.  With 5G around the corner, we would reach the limits of what is tangible to human in terms of speed.  Capacity would reach to similar limit that we human won’t be able to process faster than what is available to us.

6G will be a paradigm shift from HW/FW/SW requirements to actual applications.  In other words, 6G will be defined at the Application Layer and would work its way down to NET, MAC, and PHY layers.  Although some changes will be required for NET, MAC, and PHY layers, they would be incremental and not significant compare to 5G.  What would be significant about 6G, is that the applications will be much user friendlier and with significant capable artificial intelligent UE.  You will not need to type for interfacing with your devices, merely talk to device or even simple jester would do work.

AI of voice activation and jester recognition are under way by many companies and devices are being design and developed already.  One could claim that s/he is working on 6G already, and that would not be far from truth.

With the current implementations of AI and ASI, a good estimate would be 2027 for fully 6G devices and applications.

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Posted on November 29, 2018 

What is Startup Company 2nd Challenge?

In order to run successful technology startup, the head of engineering team, either CTO and/or VP of Engineering has to be truly committed to the technology and the first believer of the product, s/he is developing.  Any lack of commitment would be picked up by managements consequently engineering teams.  Effectively at the least, it slows down the progress and deliverables’ time line, or creates an atmosphere of void execution within the organization with respect to its true and meaningful potentials.

Startups are supposed to be bold in taking risk on a single technology.  In other words, they have only one product, and have to be first in getting that product to the market to surpass any other competitor.  In order to do that, startups are supposed to be quick in vetting their options and making decisions on daily basis which has significant impact on their survival.  This is high stake and risky business and development plan and any failure is catastrophic.  That is the nature of startups.

In contrary, a well-established company has large number of products, portfolio, and resources which can afford missing some opportunity without going into red zone, yet they are slow in implementing any new technology because of lengthy and vetting process by which large numbers of stakeholders decide and typically not the first in disruptive technology.

The startup’s engineering leadership must be transparent and on-board with the same level of belief for disruptive technology which they are developing as the founder(s), not just by echoing the company’s goal in their statements, but with their behavior, action, and unwavering commitments dealing with engineering managements.  Anything less than that; would lengthen the development timeline and diminish any ROI if not all.

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Startup Companies’ Number 1 Challenge

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Posted on November 25, 2018 

Analog vs. Digital Signal Processing

The world around us is analog, e.g. light, sounds, smell, temperature, etc.

In fact, all sensors around us are also analog in nature.

However, it is advantageous to convert the analog information into digital using analog to digital converters, ADC, and process the information in the digital domain.

By converting the analog to digital signal and perform the processing in the digital domain, there are 3 fundamental benefits.

  1. Digital signals are more tolerant to noise and/or distortion. In technical terms, digital modulations require lower signal to noise ratio before detection.
  2. Digital signals require less of frequency spectrum. In technical terms, digital signals increase capacity, i.e. more users per frequency spectrum.
  3. Digital signals are more secure. Once the analog signal is digitized, it is very easy to encrypt them.  The encryption can be changed on the fly to new codes, if it is compromised.

Because of the above, nowadays any analog signal is digitized using ADC and processed in digital domain via microprocessor.

There are additional benefits that comes by digitizing the signal of interest, namely; it can be stored and retrieved easier.  Digital signals can be encoded to decrease required signal to noise ratio before detection.  The semiconductor processes in which handles digital signals are more robust to manufacturing tolerances and yield better, therefore lower cost per square area.  The semiconductor is also requires less or no calibration prior using operating the device, i.e. less cost for bring up.

The benefit list goes on.

Future technology will rely on high speed broad bandwidth ADC and DAC and limits the analog medium to the air interface channel, antenna, LNA and PA in radio communications. Everything else will be handled in the digital domain which can be manipulated via SW, hence Software Defined Radio, SDR.

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Posted on November 16, 2018 

Startup Companies’ Number 1 Challenge

In good and healthy economy, many startup companies get funded and start developing proof of concept innovative technologies. In technology industry, the number one challenge for these companies is to realize an actual product for the new technology that they have designed and developed. In other words, which product is worth continue developing in order to make good on the return of investments.  The challenge comes about that any new technology has at several opportunities to be harvested upon.  Each opportunity requires dedicated resources and different time to market time line to arrive at end user product.  The startup company does not have the means and resources to invest resources in each single opportunity, therefore it has to take risk in selecting one or maybe two opportunities partially and wait for reaction from the market.  By the time the market reacts, if it is not too late to change direction for market traction, the startup would be out of funding. To overcome this challenge the market has to be well understood before making any commitment to the product on the roadmap.  The understanding of the market requires evaluating internal capabilities vs. external future demands.  Both of which are not only requires technical know-how but also business acumen with vision for the market.  Most startups have either technical or business product owner who makes the call, but not both.  The end product is either technically fit, yet does not meet cost and customer feature targets, or too broads in frivolous features without topping legacy technology in any particular aspects.

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What is Startup Company 2nd Challenge?

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Posted on November 14, 2018

What is the relationship between intelligence and imagination?

Intelligence is the act of processing knowledge and/or information to draw conclusions to benefit a desired outcome.  Every human being, or being, has intelligent to certain degree and using that on daily basis.

For instance, when you arrive at any new city and would like to reach your particular destination, you use the information about the geography of that city, where about of your destination, public or private transportation schedule and availability to plan the timing, cost, and schedule that makes sense for you.  This process is demonstration of your intelligent at work to arrive at your destination.

In regard to Artificial Intelligent, AI, a machine will be programmed to predict human behavior via an engineered algorithm.  For instance, any voice activated Edge Device, such as Alexa or your Smart Phone, will listen to your instruction or question to come up with pre-programmed response to satisfy your need.  Again, this is machine reaction to your instruction or question is AI at work.

On the other hand, imagination is seeing beyond routine behavior or typical response for given situation.  For instance, in 1960’s Star Trek TV serial, envisioned a “handheld wireless foldable pocket size communicator” that could be used to communicate between Star Trek’s crews or officers.  We now see that “communicator” has been realized in late 1990’s by Motorola original flip mobile phone.  This is imagination at work.

Mathematically, intelligence is interpolation between available data points to draw conclusion, whereas imagination appears to be even further than extrapolations.

Imagination is extremely difficult to teach, if not impossible, yet alone being programmed to any machine.

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Posted on November 11, 2018

How to calculate Exact Number of Bits for DSP Algorithms?

Digital Signal Processing, DSP, algorithms are typically coded in MATLAB with floating point numbers.  Whereas the implementation of the same algorithm in HW/FPGA is bounded by limited number of bits, therefore, there is question of how many bits are actually required such that the given algorithm has adequate accuracy.

The short answer is that the exact number of bits can be analytically calculated similar to ADC or DAC’s ENOB and it can be validated via fixed point in MATLAB to ensure the exact number of bits produce the expected accuracy.

This is the link to ADC and DAC number of bits calculation for 5G examples.

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Posted on November 3, 2018 

Design of an Experiment, DOE

In 1950’s Japanese car manufactures were facing the fundamental manufacturing problem, namely; how to make cars with adequate yield.  In other words, every car which was produced was not necessarily reliable or working properly as expected, i.e. yield was low.

In order to solve the problem, the engineers became aware of car manufacturing process issues and had to find which part of process impacts what output quality parameters.  The issue was that there were too many parameters to deal with and correlating back to root cause, process step, was tedious, expensive, and would take months if not years to sort out.

The car manufacturer hired a consultant, W Edward Deming, to look into issue, someone with fresh ideas, outside of the box.  During this time a Japanese engineer, Taguchi, discovered and documented statistical techniques to design experiments that are orthogonal and provides significant information which can be utilized to correlate the issues back to it process source.

Nowadays, successful manufactures target 6 sigma processes after running series of DOE during characterization of their products to arrive at adequate yield in high volume manufacturing.

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Posted on October 26, 2018 

Self-Transmitter Interference Cancellations Feasibility

Typical communication radios utilize frequency and/or time division diversity for two way radio communications.  This is to ensure proper operation of receiver in the presence of a very loud transmitter.  In other words, while the transmitter is talking, the radio can’t receive in the same frequency band at the same time, due to self-interfering/jamming of the receiver.  This is even true for, human voice communications, at least for most of us if not all that; we can’t talk and listen at the same time.

There is an interest to be able to talk and listen at the same time in any radio.  It saves frequency spectrum and/or time.  The spectrum cost us more than $500/Hz, whereas lost time is not even replaceable, therefore there is research going on to realize a radio that can transmit and receive over the same frequency band simultaneously.

The problems to be solved are three folds, first the dynamic range of the required receiver, second the accuracy or tolerance of required hardware to realize such a radio, and third maintaining the self-transmitter cancellations over a wide bandwidth.

There are number of techniques to assist the receiver in cancelling self-transmitter interference while both transmitter and receiver are operating, namely; digital cancellation, analog cancellations either via phase, vector modulation, or signal inversion.

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Posted on October 22, 2018  

What are the differences between AI vs. ASI?

Artificial Intelligent, aka AI, consists of sensor/HW, FW, and SW which can predict the outcome of a particular event, via utilizing prior algorithm.  Typically the algorithm has to take into account some human and/or machine behaviors.  The sensor takes the data of present, the algorithm compare the current data against the previous history and predict the outcome an event.  The algorithm could be residing in FW and/or SW.

Many, if not all, high technology companies have AI division; to name a few: Amazon, Apple, BMW, Daimler Mercedes Benz, Facebook, Google, Microsoft, Nvidia, Qualcomm, Samsung, Tesla, Toyota, and Volkswagen.

For instance, any voice recognition algorithm can be considered AI.  The voice AI is supposed to understand and/or predict the verbal/voice instructions.

Any face recognition algorithm can be considered to be AI.  The face recognition AI is supposed to map the face of an individual to all known identity in its history or library.

Any grocery marketing algorithm can be considered AI.  The grocery AI is supposed to predict the grocery items that you potentially purchase and provide you with marketing information, such as coupon, discount, particular vendor, available locations, etc.

Radio front end algorithm which can sense interference/unwanted signal and adjust gain and linearity, aka cognitive radio, of wireless system front end can be considered AI.

Artificial Super Intelligent, aka ASI is the combination all of the above.  ASI consists of multiple sensors, FW, and SW which can predict human behavior based on previously trained human models and algorithms.  ASI also has capability of making predictions outside of prior algorithm, once it has statistical data and behavioral model.

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Posted on October 16, 2018 

FMCW vs. Pulsed Radar

Radio detection and ranging, aka radar, was invented to detect and estimate military target range before WWII, 1930’s.  Originally this was done by transmitting a Continuous radio Wave, CW or sinusoidal, and listening to the echo bouncing back from the target of interest.  The echo signal intensity would be compared to clutter, noise level of the receiver, and if above certain threshold, it would indicate the existence of the target, i.e. detection.  The bigger the target, aka radar cross section/RCS, the stronger the echo signal is. The echo signal would also be shifted in frequency, aka as Doppler shift.  The Doppler frequency shift, frequency modulated CW/FMCW, is proportional to radial speed between radar and target.  The Doppler shift is negative relative to the CW, if the target is going away and positive if it is heading toward the radar.

During WWII, radar became extremely important and the race started to improve it by increasing the radar range that could detect a target.  This proved to be challenging as additional range meant much higher power, in fact by x4.  In other words, to double the radar range the transmitted power have to be increase by 16 times.  There were two problems, the obvious limitation of transmitted power and its security.  The stronger the transmitted power of the radar, the more obvious to be detected itself and be neutralized.

The advance of electronic technology and digital signal processing algorithms enabled optimizing the required transmitted power and acquire additional information about the target, Pulsed radar was invented.  The pulsed radar provides better time stamp of the target by compromising the frequency information/speed resolution.

Nowadays, advanced radar can provide both accurate time and frequency of the target signature with what is known as Pulse Compression Radar.  Pulsed Compression Radar modulates pulses to optimize both range and speed of the target, while maintaining the transmitted power.

Current radars can tell much more information about the target, such as; radial speed, direction, size, track, and even identify the target.

Radar has found its market in commercial application and will be important feature of autonomous car, Positive Train Control/PTC, and auto pilot airlines.

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Posted on October 6, 2018  

Mobile Wireless Communications Connectivity Between 2020 – 2027

Many clients ask about the mobile wireless communication outlook in various contexts.  The questions are typically around 5G and its user experiences.  The following graph summarizes what we are about to experiences for mobile connectivity for the next several years.

The user equipment, UE, the mobile device will have capability to sense and connect to the optimum mode of operations depending on its location and availability of network.  The handoff will occur on the fly, with the only exception of LEO SATCOM Connectivity.

In brief, for very short distances, BT/802.15 will be used for data transfer as it is today, with some tailored improvement for datarate and power consumption. This is basically device to device, d2d, connectivity.

For local area, such as home or office, 802.11xx and/or femtocell will be the dominant mode of operations.  Depending which transceiver you have, the datarate will be about ~7Gbps.  If you don’t have any WiFi, equivalently, femtocell can be utilized instead and datarate will be about ~5Gbps.

Once you step outside of your home and office yet still in urban area, the UE will be connected to gNB or eNB depending on the availability of network, with associated datarate between 1 – 10 Gbps.

In remote areas, User Terminal, UT, the LEO SATCOM will be available to keep connectivity with 100Mbps datarate.  It is possible that the UT would be dual purpose and acts as UE as well.

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Posted on October 4, 2018

The Smart City Concept

The Smart City concept has been taking shape for the past 5 years.

The concept is intelligent connectivity between commercial and public facilities to your handheld device, UE.

As you walk in downtown area, you will be able to access information regarding restaurants, bus or train schedules, post office, etc. at your request with much more user friendly applications.  You will be able to ask question of your UE and the response will pop up or voice to tell you about your destination, the ratings, wait time, menu, etc.

If you have a destination via train, your UE will make you aware of timeline, location, and other options to get you there, think of like Uber, Lyft, Amtrak applications are combined with much more info and extremely easy to use.

Currently, Barcelona is number 1 smart city, followed by Munich.

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Posted on September 26, 2018

What should be Statistical Sample Size?

Any practical design that makes it to production gets to be tested for quality by end users.

Successful manufacturers have estimate of what portions of their “Good” may Fail, the Escape, consequently becoming the Returned, RMA, by the end users.

For large volume consumer products with low margin, or even for mid margin, it is necessary to validate the RMA quantity to meet cost targets.  In other words, the design and quality teams have estimated the number of RMA for Escaping “Good” criteria.  The RMA is part of unit cost calculation and target margin and bottom line in the business plan.

The validation process of RMA requires statistically testing several units and determines the number of Defect per Million, DPM, for that product.  The questions become how many units should be tested to acquire enough information about the high volume product.

The larger the sample size, the higher confident is gained with higher price tag for larger scope of testing, time, and efforts.  Obviously, manufacturers would like to test as few as units, yet still estimate DPM and validate their cost model.

The following is an example of this analytical process to control the statistical sample size.

ORTENGA can analyze your product statistical behavior.

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Posted on September 25, 2018 

Why femtocells are needed and how does it work for 5G?

5G mmW have significant attenuation/loss when passing through walls and/or glasses. Therefore, 5G femtocells will be utilized to reach 5G UE within enterprises and homes, see below.

When you arrive at work or home, your 5G phone, UE, will register and authenticate with the local 5G femtocell.  This femtocell is connected to your home modem, internet provider for instance, and reports your location.  Now any incoming or outgoing calls/data transfer will be handled through the internet to 5G backhaul and routed toward appropriate 5G Fronthaul.

5G femtocell will be less than 1W radiated power and target cost of couple of hundred dollars.

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Posted on September 24, 2018 

The 5G Concept

The wireless industry has been developing 5G Standards for some times now and 3GPP 5G NR release 16 will be available soon.  In spite of that, there are some confusion of its implementations and how to reach the end user, UE.

Some manufactures focus on sub 6 GHz, while others go into mmW 28 and 39 GHz spectrum.  There is also confusion of how higher spectral efficiency, hence higher throughput will be achieved indoors, urban, rural, or even global remote areas.

It is cost and ROI which will lead to pragmatic solutions.

Here is my view of what is happening.

For urban area, mmW technology will be utilized for venues such as football stadiums, outdoor concerts, downtowns, and some golf courses.

For indoor venues, 802.11ax, 802.11ac, and/or femtocell will be utilized.

For device to device, d2d, handshake and data transfer, 802.11ad will be utilized.

For global remote area, LEO SATCOM will be utilized.

The 5G UE will be able automatically switch/hand off between the above platforms to optimize the user experience for throughput, latency, power consumption, and cost.

Partner ORTENGA in the product design and development before executing your business plan to capture 5G Wave market share in 2019.

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Posted on September 20, 2018 

Diode vs. MEMS for Beamforming


Diodes are typically discrete components which can be off the shelf in realizing variable capacitors while they are reverse biased for many applications including RF resonators.  Integrated diodes are technically feasible with additional cost of Silicon mask and fabrication facilities for larger scale.  The current leakage increases with temperature and impact the capacitance.


MEMS can be discrete or integrated into PCB, which has lower fabrication cost and turn around time relative to Silicon. The MEMS have better power handling and lower leakage current.

Overall, for large scale (100 or more) antenna array, integration, switching speed, process stability, and cost are prime considerations in choosing the appropriate component.

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Posted on September 19, 2018 

Analog vs. Digital Beamforming 


In Analog Beamforming, the amplitude and phase shifting occur in RF front end, hence in analog domain.  Therefore, due to analog nature, in order to account for performance of amplitude and phase over frequency, temperature, voltage, and process (i.e. part to part), extensive characterization and meticulous calibration algorithms have to be done during the production phase, in addition to careful design topology.


In Digital Beamforming, the amplitude and phase shifting occur in digital baseband.  Therefore, there is no need for production calibration, due to maturity of digital process.  This advantage does come at a price of additional DC power consumption for baseband IC.


In Hybrid Beamforming, the coarse amplitude and phase shifting occurs in analog domain, whereas the fine-tuning happens in digital domain.  The HBF are feasible for very large antenna arrays, where ABF and DBF fail to scale due to complexity or power consumption, respectively.

To select proper beamforming topology, careful analysis of use cases as well as complexity vs. power consumption trade-off analysis should be made to down select undesired customer limitations.

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Posted on September 18, 2018


LEO SATCOM stands for “Low Earth Orbit Satellite Communications”, see below.

LEO satellites will be launching in 2019Q2 and will be operational in 2020Q2.

LEO is newer technology in comparison to GEO, Geostationary Earth Orbit, and requires less power, smaller size, while providing higher throughput/spectral efficiency.

To date, there are 26 companies making, User Terminals/UT, Satellite, Ground Network/GN products for LEO applications, excluding their vendors.

Significant venture capital is spent supporting many start-ups to capture this new SATCOM market.

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Posted on September 17, 2018

What are the differences between Lidar vs. Radar?

Radar is an acronym for “Radio Detection and Ranging”.

Radar illuminates a target via radio waves and listens to the echo for acquiring information about the target.

Nowadays, radar is much more advanced technology and also detects the target radial speed, direction of arrival, type, and its size.

Originally, radar’s technology was intended for military applications and over time it has find its way to commercial applications.

Recently, radar’s technology is being designed and developed for autonomous car, train, and plane industries.

Radar’s range could be as short as 100 m up to 250 Km.

Lidar stands for “Light Detection and Ranging”.

Lidar uses Laser/Light instead of radio waves and can depict good resolution picture of the target.

Lidar are for much shorter range of the target, 100 – 150 m.

Nowadays, both Radar and Lidar use sophisticated digital signal processing techniques and algorithms to acquire significant information about the target of interest.

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Posted on September 17, 2018

Why Antenna Surrounding Matters?

Antenna performance not only depends on its design topology but also on the surroundings which impacts antenna impedance in real world application.

In other words, if one were to design an antenna and meets all its required performance in standalone condition, then when it is embedded with other radio components, the antenna behavior would change, either over frequency or for worst.

In fact, mobile handset antennas are tuned with human phantom after fabrication, to adjust tuning elements in such a way that meets requirements in presence of the human body.

More advanced mobile handsets have capability of adjusting the tuning elements on the fly to account for various surroundings and still meets acceptable antenna performance.

Very advanced mobile handsets have capability of adjusting impedance and aperture tuning elements on the fly.

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Posted on September 14, 2018

What are the challenges of radio coexistence?

It is well known that in radio design and baseband, frequency planning is a critical aspect of the design to ensure unwanted spurious and/or non-discrete signals generated within the radio, do not harmfully impact the SNR in anyway.

The problem is even more challenging when multiple radios coexist within the same system; for instance, when BT and WiFi are supposed to coexist in the same vicinity or PCB.

Every time you add another radio to the system, your design must take into account precautions such that addresses/mitigates radio coexistence.

In fact, if you were to look up manufacturers such as Apple, Amazon, or Nvidia, they have assigned engineers to deal with just that one issue in their design.

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Posted on September 13, 2018

What is Radio Statistical Analysis?

External Constraints

Radio design deals with many external constraints, such as unwanted signals from other users (in the same band, IB) or applications (i.e. outside of the band, OOB) which are random and could take many different values.

Internal Constraints

Also, the radio has to perform over some internal constraints, such variation over process (device to device variations), voltage temperature, aka P.V.T.  By definition, the radio covers certain frequency band of interest; therefore it has to perform over the frequency band.

A good radio design is robust enough that could perform well both over external and internal constraints.

This requires a statistical analysis to understand the yield (cost of radio) vs. robustness of the radio.

ORTENGA can partner with you to perform statistical analysis on your radio.

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Posted on August 31, 2018 

What are 5G Waveform Potential Candidates?

Legacy 4G waveform is OFDMA.  Although OFDMA has attributes which are interesting for 5G, yet lacks required spectral efficiency to achieve 5G traction.  Therefore 5G R&D communities have developed derivative of OFDMA to achieve better compliance with 5G requirements.  There are 4 competing 5G Waveforms, namely;

  • Filter Bank Multi Carrier, FBMC
  • Generalize Frequency Division Multiplexing, GFDM
  • Orthogonal Time Frequency Spatial, OTFS
  • Universal Filter Multi Carrier, UFMC

5G Considerations Metrics


Peak power to average ratio, PAR is critical metric which impact PA linearity, consequently PA efficiency.  PA linearity and efficiency are two competing metrics and can’t be optimized at the same time.

Spectral Regrowth

As the PA gets close to compression, the spectral regrowth reach out of emission limits set forth by FCC and ETSI.   Spectral regrowth impacts adjacent and alternative adjacent channels which belong to another user and shall not be polluted.

Spectral Efficiency

5G KPI is spectral efficiency and whichever waveform utilizes the BW better has good chance of being chosen.

Phase Noise

As the operating frequency increases into mmW band maintaining phase noise becomes more challenging.   Given m-ary modulation, the required phase noise is determined.  Higher spectral efficiency requires higher m-ary modulation, which translates to better phase noise.


The 5G Waveform will be a trade-off between spectral regrowth and length of baseband filter (latency).

Interference Immunity

The 5G Waveform will be a trade-off between spectral efficiency and orthogonality (complexity of Rx architecture)

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Posted on August 29, 2018 

What are 30 GHz design challenges?

At 30 GHz, the wavelength is 1 cm, 0.4 in.  Any component in size that is in order of 1/8 wavelength, 1.25 mm, or longer will not only impact the magnitude but also phase of the electromagnetic waves.  In other words, SMD inductor and/or capacitor can’t be used and have to be realized via short and/or open stub, aka distributed elements, i.e microwave design.

RF power is premium even more at 30 GHz.

In Tx chain, therefore power loss in transmission line is less tolerable compared to sub 6 GHz. Thus, every component has to be tightly placed on the PCB.  Due to proximity, the new challenge becomes required isolation between all these tightly placed components.  The mitigation is to understand the electromagnetic method of coupling and avoid them on the PCB, i.e. microwave layout design.

As the frequency goes above 30 GHz, these issues are more pronounced and requires delicate and meticulous design to be have a successful product.

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Posted on August 27, 2018 

What is Radio Systems Engineering?

Radio systems engineer are responsible to review and capture overall radio requirements.  The radio requirements could be divided into two major categories, Air and MODEM interfaces. Any radio design has at least two Systems Engineers, one for Air Interface, who is called Radio Frequency Systems Engineer, aka RF Systems Engineer, and second is Communication Systems Engineers, aka CommSys Engineer.

Air interface refers to the medium in which transmit and/or receive antennas of the radio operate in.

MODEM interface refers to baseband digital signal which has to be processed, via DSP, to decipher digital data after correcting errors incurred during the transmission and produces sent information for the radio user.

RF Systems and CommSys Engineers work together to decompose the Air and MODEM interfaces requirements.

In particular, RF Systems Engineer decomposes and defines every single block from Antenna down to A/D and D/A up to Antenna for Rx and Tx chains of the radio, respectively.

The CommSys Engineer decomposes and defines every single block inside the MODEM from synchronization, AGC algorithm, decryption/encryption, demodulation and modulation of Rx/Tx chains of the radio, respectively.

ORTENGA has seasoned systems engineering team who have previous industry design for supporting your radio project.

The following block diagram illustrates top level block diagram of any modern wireless digital communication systems.

The Channel represents the Air Interface in the above block diagram.

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Posted on August 26, 2018 

Who are 5G MODEM SoC players?

Qualcomm 5G MODEM

X50 is Qualcomm 5G MODEM which is not only backward compatible with previous mobile Standards such as 4G/LTE, 3G/CDMA, but also supports 802.11/WiFi, 802.15/BT, and GPS/GNSS applications into the single SoC.  This is by far the most integrated 7nm TSMC baseband chip for Mobile applications.

Intel 5G MODEM

XMMTM 8060 is Intel 5G MODEM which is backward compatible with 4G/LTE, UMTS, and 2G/GSM mobile Standards. It is based on 7nm Intel CMOS process.

Samsung 5G MODEM

Exynos is Samsung 5G MODEM which is backward compatible to 4G/LTE and 3G/CDMA mobile Standards.  It is based on SEC 7nm SEC CMOS process.  It is also unclear whether it supports any other mobile technology besides wireless mobile applications.

Media Tek MDOEM

Helio M70 is Media Tek 5G MODEM which is 5G and 4G/LTE supporting sub 6GHz Band.  This chip is tailored to meet CMCC, NTT Docomo, and Huawei carriers and value tier markets.  It is based on 14nm CMOS process.

Apple 5G MODEM?

Apple has been working on baseband chip for the past 5 years, however it is unclear the amount of success in breaking into the mobile MODEM chip technology.

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Posted on August 19, 2018

Why Broadcom is trying to buy Qualcomm?

Let’s rewind to view the background of Broadcom.  Broadcom originally was founded and succeeded to be the company in infotainment industry with RFIC and MODEM SoC for TV and STB for broadband applications.  The success increased the need for growth beyond and into cellular industry in early 2000.  Broadcom came close, however could not penetrate the competitive cellular market.  Avago ceased the opportunity to acquire Broadcom when it was not growing and in management turmoil.  Avago have PA and front end component for cellular market and kept Broadcom name.

Fast forward to current time, Qualcomm is preparing to launch X51/2 MODEM and integrated RF front end, GaAs PA modules with CMOS drivers, Power Management IC, Clock Management IC, all tailored for 5G market.  Just the PA modules introduction will hurt Avago/Broadcom bottom line, moreover, it will solidify Qualcomm on its core technology for up to 7 years.

Broadcom acquisition of Qualcomm for purchase price $105B, is no brainer without risk.

Qualcomm front end market worth ~$20B, MODEM SoC is another ~$30B, QTL is estimated to be ~$50B. Other assets such as 30K+ engineering resources, its largest assets, real estates, equipment, and investments worth well over the remaining $5B by ~10x.

It is no surprise that Broadcom has increased the stake and pursuing the acquisition by any means.  Whether Broadcom succeed in its acquisition, remains to be revealed in 2018.  One thing is clear though if Broadcom acquires Qualcomm, the quickest to make good on that investment, cashing out, is to sell QTL and reduce the engineering resources which supports that business and continue with cellular legacy and 5G for years to come.

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Posted on January 9, 2018

What are 5G Mobile MODEM differences, Qualcomm vs. Intel?

It is well known that Qualcomm and Intel are after 5G Mobile MODEM market with X50 and XMMTM 8060, respectively, and preparing to launch production in 2019.

Let’s delve into the difference between the features and functionality of the 5G MODEM.

Qualcomm will be using TSMC 7nm technology, whereas Intel is focusing on 10nm CMOS.

Qualcomm will be integrating 2G, 3G, 4G, and 5G, WiFi, BT, GPS MODEM into a single BB SoC.

Intel model is to integrate 2G, 3G, 4G, and 5G MODEM into a single BB SoC.

Both Qualcomm and Intel are working to have RF interface front end transceiver for the BB SoC.

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Posted on November 23, 2017

Why Apple is still using Qualcomm Radio Interface Transceiver, MODEM, Power management IC and what does really all mean?

Recent iPhone8 and X10 tear-downs have confirmed that Apple using WTR595 Transceiver, MDM9655 X16 LTE modem, and PDM9655 power management and temperature compensations IC for Qualcomm chips.

Earlier this year, in January 2017 Apple sues Qualcomm for royalty charges practice.

Is Apple Engineering Leadership are out of synch with their Corporation Lawyers?  Probably not, let’s look at the timelines of sequence of events.

Apple Law suite occurs in January 2017.  It would be fair to say that the decision for law suite finalized before holidays in 2016 or even earlier.  If so, but why Apple waited to act sooner?

What caused for Apple Engineering leadership to use Qualcomm chips for iPhone8 and X10?

It is well known that Apple has been trying to add LTE Transceiver and MODEM to its processor portfolio for the past few years.

However, with all Apple resources and efforts, Apple could yet to solve the carrier aggregation requirements for LTE, to achieve high data rates for advanced LTE Categories.  This is well known among Apple Engineering leaderships.

So, in one hand Apple products needs Qualcomm IC to function, and on the other hand Apple does not like the amount of royalty contracts obligations.

In order to achieve the royalty issue, Apple has decided to sue Qualcomm in 2016, knowing well that it would not disrupt the shipments of Qualcomm while they are in full negotiations to bridge their business differences.

What would happen next?

Let’s take a guess, Apple and Qualcomm negotiations will result in continuous shipment of Qualcomm and obligations that Qualcomm to be the main source for 5G technology.  In return, Apple would get a better deal on royalty charges.  Apple has new iPhone model every year in autumn, for that to stay on track, Apple has to resolve its law suit by early 2018, Q1.

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Posted on November 11, 2017 

What it PolyStrata?

PolyStrata is an innovative process that allows realizing mmW passive filter and transmission line on printed circuit board with high quality factor, i.e. low insertion loss.  This process opens door to more compact components with waveguide quality performance.  The applications can be in front end mmW mobile communications and automotive radar.  This process has already found tractions in military applications.  Consumer products market is new for this process with its challenges of cost entry and product definitions.

If you are interested to learn and discover cost effective solution with superb performance for your applications, inquire via .

July 16, 2017

Apple vs. Qualcomm Litigation

Apple has sued Qualcomm for 1B$ and stopped paying the royalties earlier this year.

This would give Apple leverage to renegotiate the royalty terms with Qualcomm. Qualcomm roadmap and revenue stream depends on Apple.

In return, Qualcomm has filed for a ban on Apple iPhone products entry to U.S.  Should Qualcomm get the ban on Apple iPhone products, this would impact on Apple revenue stream.

Neither Apple nor Qualcomm can live without each other.  Therefore, Apple and Qualcomm would come to negotiating table sooner than this summer and would mend the differences before fall.

Apple would receive a better deal on royalties and Qualcomm would ensure their place in iPhone roadmap.

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Posted on May 6, 2017

Would 5G rely on GaAs, GaN, SiGe, or CMOS?

CMOS historically have been used for baseband signal processing in any radio technology and will continue at least be used due to it low cost and scalable geometry for the next 5 years.

Even though CMOS is trying to reach handset power amplification in 4G market, it is unlikely that it would succeed in mmW, due to limited breakdown voltage and power density.

On the other hand, GaAs has typically been used for handset market and will likely continued to be used for mmW.

GaN technology is being introduced to the market for that past decade and even though the cost per wafer is more expensive than alternatives, GaAs, CMOS, and SiGe, it will probably be the technology of choice for mmW Base Stations power amplifiers due to higher power density, 12W/mm, and breakdown voltage, 80V, in comparison to GaAs.

SiGe has been used on some mmW transceiver IC and probably will have some success capturing 5G market, as well.  Also, wide bandwidth data converters may find their way through SiGe technology for 1Gbps sampling rate or higher.

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Posted on January 15, 2017 

Would 5G rely on DPA or DPD?

There are number of different linearization techniques which are used in Tx chain to increase the power efficiency of the transmitter, hence enhanced radio talk time.  Recently, 4G and CA have utilized digital pre-distortion, aka DPD, technique to run handset PA along with ET at near compression point, such that optimum efficiency is achieved by corresponding PA. It is almost certain that DPD technique will be used for 5G technology as well.

On that other hand, Doherty Power Amplifiers, aka DPA, are gaining traction for CA and 5G base stations.  Currently, they provide 60-65% efficiency utilizing legacy technique going back to 1936.  However with some additional investment and work, there are potential opportunities to even further enhance that elegant design topology by William H. Doherty at Bell Lab.

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Posted on January 12, 2017  

Why 5G needs massive MIMO + BF at mmW Bands? 

It is well known that MIMO increase the capacity/data rate by factor of M, i.e. the number of inputs/outputs antennas/sensors.

It is also well known that BF increase the directivity of desired signal, hence increased SNR, which also increases the capacity/data rate, albeit by log2 (SNR), i.e. slower rate increase relative to MIMO.

As frequency increases the wavelength decreases, therefore the antenna size and/or antenna array dimension decreases.  As a result, at mmW band, it is possible to pack together a larger number of antennas to form the array for given area, which yields higher directivity, hence better SNR.

MIMO provides the same SINR for each UE, which is not typically an optimum and desired condition, as each user requires different data rate, hence difference SINR.

MIMO and BF simultaneously allows higher data rate as well as optimized SINR for each UE.

In light of the above, 5G mmW bands radio will utilize MIMO and BF, simultaneously.  To support multiple UE, the number of antennas has to be much larger than the users, hence massive MIMO + BF.

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Posted on January 10, 2017

5G UE MODEM at 2017 CES 

Intel presented their 5G UE MODEM at CES this week.  The MODEM has integrated 5G BB as well as legacy 4G, UMTS, 802.11, and 802.15 BB capabilities onto 10nm SOC.  This allows the radio to switch back and forth between legacy and 5G technology such that it maintains the maximum throughput available based on the location and distance from BS and/or AP. This could be considered X50 competitor in the 2017 market.  MediaTek and Samsung have yet to reveal their 5G roadmap in MODEM market.

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Posted on January 4, 2017

Antenna Array Pattern Including Mutual Coupling

When calculating antenna array pattern for complete accuracy, the pattern of an array antenna must include the variations in the excitation currents as well as the pattern of each element acting under the influence of all coupling effects.  This is a difficult task if not impossible; however there are 2 techniques for addressing this problem, namely; isolated element and active element pattern approach.  In the isolated element pattern approach, the coupling effect is accounted for in the current excitation and is appropriate for very large arrays.  In the active element pattern approach, all coupling effects are accounted for through the active element.

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Posted on December 28, 2016 

Radar Ghost Target

In radar processing, ghost target appears when there is a multipath of echo signal reaching receiver.  This causes the receiver having difficulty in differentiating, identifying, and tracking the actual target.

Automotive radar experiences moving target as well as the radar equipment, which further exacerbates this ghost target vision situation and requires appropriate radar signal and data processing, in addition to front end HW.

The echo signal typically could have either Rician or Rayleigh profile for small scale fading.

In order to mitigate ghost target vision, there are 2 parameters that have to be carefully analyzed and designed, namely; signal BW and symbol rate.   These parameters are the knobs to avoid signal dispersion and time variant channel, respectively.  Obviously, understanding the multipath fading manifestation is fundamental in solving problems at hand.

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Posted on December 27, 2016 

Antenna Array Far Field Radiation Pattern
Antenna arrays are used to achieve higher directivity relative to the array element.

The radiation pattern of an array can be computed as

Far Field Radiation Pattern = |EF*PF*AF|2

where, EF, PF, and AF are Element Factor, Pattern Factor, and Array Factor.

Element Factor is infinitesimal factor of single element antenna

Pattern Factor is radiation pattern of single antenna due to its current distribution over the antenna

Array Factor is radiation pattern of array due to isotropic element

Each of the above factors can be computed standalone and their products is Far Field Radiation Pattern of the array.

For instance, Marconi-Franklin Linear array antennas are stacked 3 dipole antenna. The element factor is Hertzian dipole pattern.  The Pattern factor is the radiation pattern of single dipole due to sinusoidal current excitation or distribution.  And the Array factor is the pattern due to isotropic elements array.

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Posted on December 23, 2016 

Radar Pulse Compression

As Radar technology becomes part of automotive and commercial drones, new requirements are developed to provide for this new market appropriately.  Some of the technical challenges to be addressed are stringent range and radial velocity resolution for moving target as well as radar itself.  It is well known that range resolution requires lower PRF, while radial velocity resolution requires higher PRF.  Obviously both requirements cannot be met, simultaneously.  Pulse compression technique is used to mitigate this issue. PN pulses can be used in a way that can produce optimum resolution for both range and radial velocity.  Barker code of various lengths provides an example of PN pulses.

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Posted on December 8, 2016 

5G Coding Options

There are 3 codes; LDPC, Polar, and Turbo, which are under investigations and considerations by 3GPP Standards working group for small block size of 5G Standard.

There are three considerations for choosing any coding for wireless communications; power [nJ/b], implementation [nm2/b], and latency [ns/b] efficiencies.

5G requires up to 1000 faster data rate than 4G, therefore the power efficiency has to be at least 1000 improved to even have the same battery life; otherwise it will be out in few seconds.

One way to mitigate the power and latency efficiencies; is to monitor every symbol SNR via CQI and only invoke full decoding at the receiver when SNR is near required threshold or high probability of error.  The probability of bit error increases when the signal is close to noise level and vice versa.  If the SNR is adequately high, say 6dB above threshold which means the desired signal voltage is twice as large of what is required; then decoding can be scaled down such that there is an additional gain on power and latency efficiencies.

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Posted on November 23, 2016

Radar Market Opportunities

Radar market for automotive is growing at rapid pace and will have annual growth rate for the next decade.  Currently radars are used as advanced feature for some high end automobiles.  As radar and its added safety features are becoming norm in automobiles and even trucks, the market grows significantly.  It is expected that future cars will have multiple radars for various direction and range.  In fact radars will be utilized in consumer electronics drone in cities.  The following chart shows radar market opportunities outlook for the next decade.  Semiconductor industry is investing in design and development of mmW IC and BBU of radar system electronics.

New antenna structures such metamaterials are used to eliminate phase shifters and potentially reduce cost for phased array technology in some of the advanced radars.

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Posted on November 20, 2016 

Pulsed Radar Architecture

Pulsed radars are becoming more popular due to digital capability of pulse generation and detection, hence integrated circuits smaller geometry/die size, as well as enhanced range and radial velocity resolutions by appropriating designing pulse waveforms and repetitions.  The following is a typical pulse radar functional block diagram.  It should be mentioned that the electronic circuits for basic mmW radar could be as small as a smart phone.  And, for more stringent radar requirements, the overall physical size can grow to accommodate several antennas and the corresponding front ends’ HW.  Nowadays, radars are becoming part of automotive features and in few short years every autonomous car will be equipped with multiple radars.  Any advanced radar can have the capabilities to calibrate for environment in which it operates at, to reduce clutter and enhances SNR to improve radar performances.


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Posted on November 15, 2016 

Radar equations, how many are there?

Radar equation relates transmit and received antenna gain, power, radar cross section, operating wavelength/frequency, range, and noise.  Consequently, radar signal to noise ratio can be computed.  There are 3 classes of radar; Search, Track, and Weather, each with its own radar equation which are used to relate physical design parameters to performance metric of a given radar.

Radar engineers use appropriate equation for designing and modeling given radar.  Search radar is utilized to scan given sky volume to find target, an obvious example is airport radar. Tracking radar is utilized to lock onto a target and track its movement.  Whereas, Weather radar is utilized to analyze precipitations and movement of rain, snow, and/or storm.

Some important observations regarding radar equations are that Track and Weather radar equations have squared wavelength dependency, whereas Search radar does not, directly.  On the other hand, Track and Search radar equations have inverse quartic range dependency, whereas Weather radar has only inverse squared range dependency.

It should be noted that there other differences between each radar equation.  Interested readers can contact ORTENGA for additional information.

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Posted on November 9, 2016

Sivers IMA’s view on mmW fronthaul  for 5G C-RAN

There is a race to release 5G solutions before the World Radio Communication Conference 2019 (WRC-19). Some of the main drivers are operators in the US, Japan and South Korea.

At WRC-19 there will be a final decision on the frequencies that will be used. However, FCC has already shared some of the new bands that will be available in the US:

  • 28GHz (27.5-28.35GHz)
  • 37GHz (37-38.6GHz)
  • 39GHz (38.6-40GHz)
  • 60 GHz (57-71GHz)

30 GHz-300 GHz has been defined as millimeter wave bands (mm-wave), hence all the new 5G frequency bands allocated by FCC can out of simplicity be defined as mm-wave. The first mm-wave frequencies that will be used for the cellular access scenario, seems to be 28 GHz which was recently confirmed by Qualcomm releasing information about their new Snapdragon X50 5G modem. Samples of the X50 modem will be available in the second half of 2017, with production in the first half of 2018, which means that the first mm-wave solution in handsets will be available in 2018. The Qualcomm X50 modem is promising speeds of up to 5 Gbps. IEEE have released 802.11ad for operation in the 60 GHz band, which support data speeds of up to 7 Gbps. In 2019, IEEE will also release the 802.11ay standard, which is an add-on to the 802.11ad standard, supporting data speeds of up to 20–40 Gbps. One of the most important 5G access performance requirements is latency, with latency requirements below 1 ms (sometimes <5 ms), to be compared with a latency in the range of 70-90ms as is the case in today´s LTE networks.

One proposed architecture for 5G base stations is Cloud-RAN (C-RAN), where the RF Transceiver is separated from the baseband unit (BBU) in a so called remote radio head (RRH).  The digital baseband signals are carried to the RRH via either mm-wave or optical fiber, which is referred to as fronthaul. Fronthaul for C-RAN is often using the Open Base Station Architecture Initiative (OBSAI) and the Common Public Radio Interface (CPRI).  The communication between the RRH module and the BBU requires very high bit rates and low latency (<100 µs). Today CPRI fronthaul may vary from approximately 0.6 Gbps up to approximately 9 Gbps depending on the type of LTE configuration that is supported. Conventionally, the CPRI specifications are designed for communication over fiber optic cables. However, CPRI based communication can also be used in wireless mm-wave fronthaul. For locations without fiber access, mm-wave is a very cost effective solution. However, CPRI has been shown to suffer from low transmission efficiency, poor scalability and limited flexibility, making it unsuitable for many of the future 5G fronthaul use cases. The latest CPRI Specification V7.0, defines line bit rates of up to 24 Gbps. With such data speeds already used for 4G+, even higher data speeds would be required for 5G.  Therefore, many players within the eco-system are working on alternative interfaces, e.g. the IEEE working group is working on the Next Generation Fronthaul Interface [1] as an alternative to CPRI.  The EU project 5G -Crosshaul [2] is focusing on integrated front and backhaul and proposes a unified multilayer data plane encompassing innovative high-capacity transmission technologies and novel deterministic latency switch architectures with the 5G -Crosshaul Packet Forwarding Element (XFE) and the unified 5G -Crosshaul Common Frame (XCF) format. The 5G-Crosshaul EU-project has shown that a packet based fronthaul interface is having less-stringent requirements compared to CPRI, where the packet based XCF will also support IEEE 802.11ad links (and eventually also 802.11ay is our guess). Another group within the CPRI Industry Initiative is working a new Specification called eCPRI, with 5G Front-haul support, this is expected to be released in August 2017. One of their focuses is to enable a ten-fold reduction of the required bandwidth

In June 2016 [3], the average CPRI connection speed is between 5-6 Gbps and as operators deploy LTE-Advanced features, the requirements on the CPRI links will keep on increasing. There are currently wireless mm-wave technologies that can support a data speed of up to 10 Gbps with low latency, which support CPRI V6.0 line data rates. These kinds of solutions will also support some of the LTE-Advanced uses cases and some of the initial 5G fronthaul line rates. For example, the Maxlinear (former Broadcom) BCM85100 Frequency Division Duplex (FDD) mm-wave modem uses two separate communications channels for simultaneous send and receive operation in the 60 GHz band, resulting in 10 Gbps data speed and latency below 100 µs (one way).  As Broadcom share in [4], the BCM85100 PHY layer Maximum latency is less than 40 µs (one way, with a mm-wave link distance at 2.5Km with 99,999% up time). This modem meet both the speed and latency requirement for wireless fronthaul. Using the Broadcom BCM85100 with the new Sivers IMA mm-wave transceiver [5], which supports 64QAM modulation with its built in VCO will be sufficient for the average CPRI connection speed of today. Using a 2 GHz bandwidth and 128 QAM, the full 10 Gbps speed is achieved. One weakness with the traditional point to point mm-wave solution is that beam steering and beam forming functionality is lacking, which is a quite important to have, for easy installation of the RRH with little time wasted on link alignment.

Which technology could support 5G fronthaul and still be cost effective? Let us list the main requirements:

  • Link speeds of 20-40 Gbps
  • <100 µs latency
  • Easy installation
  • Fronthaul Interface that does not require +100 Gbps

I believe by using the 60 GHz mm-wave band and 802.11ad/ay technology with some small modification as well as a smart packet based fronthaul Interface will be a very good solution for 5G fronthaul.

This then provides the following parts to offer cost effect fronthaul using mm-wave:

  • Speed >20 Gbps
  • Low latency, can be reach via using FDD “operation” (<100 µs) with 802.11ad/ay technology, with 14 GHz of available bandwidth in US.
  • 11ad/ay has support for beam steering and beam forming, making installations quick and easy.
  • Using the 5G-Crosshaul Packet Forwarding Element (XFE) and Common Frame (XCF) format with 11ad/ay, or possibly using the Next Generation Fronthaul Interface will solve the low transmission efficiency, poor scalability and limited flexibility which we today see for 5G  CPRI.

Sivers IMA will be presenting at the IWPC conference 16-18 November “What Role Will mmWave Technologies Play in 5G?” in San Jose, CA USA.

Anders Stormis the CEO ofSivers IMA.  Sivers IMA is the technology leader within millimeter wave solutions.

Sivers IMA is working in the forefront of new technology within micro- and millimeter wave with a

focus on RFICs, transceivers, converters, WiGig (802.11ad/ay) for data and telecom infrastructure,

backhaul, RAN network evolution, VCOs, beam steering, phased arrays, FMCW radars and more.

Anders has over 20 years of experience from data and telecommunication.

Sivers IMA is a leading manufacturer of micro- and millimeter wave products for connecting and quantifying a networked world. Sivers IMA has a long history and is internationally renowned as a reliable supplier of high quality components used in telecommunications links, RADAR sensors and test & measurement equipment. Headquarters is located north of Stockholm in Kista, Sweden. 

Ref [1] IEEE, Next Generation Fronthaul Interface (NGFI) Working Group

Ref [2]

Ref [3]

Ref [5]

Ref [6]

Any input, feedback, and/or inquire should be sent to:

Posted on November 1, 2016

What is Clutter?

Clutter is legacy radar terminology for background noise of target under surveillance, TUS.  Radar engineers make clear distinction between noises vs. clutter.  Noise is an unwanted signal that typically generated inherently by electronic systems, such as receiver.  Typical radio impairments are due thermal, phase error/time jitter, and quantization which are associated with noise.

Clutter on the other hand is the unwanted signal picked up by the antenna or antenna array in the radar system.  Typically, radiation pattern of antenna consists of main lobe, side lobes, and back lobe.  The main lobe is wanted whereas side lobes and back lobe are unwanted radiations.  During signal reception, the side lobes and back lobe are also picking up signal, which is not from the target under surveillance.   Since the side lobes and back lobe are much lower level below the main lobe, the unwanted signal contributions due by them are also weaker within the receiver, nevertheless  the clutter exist and needs to be quantified.  Therefore, radar systems engineers include clutter in the link budget of radar receiver.

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Posted on October 27, 2016 

Asymmetric Multilevel Outphasing (AMO) by Eta Devices

Envelop Tracking, aka ET, has been utilized to reduce the power consumption of Power Amplifiers, PA, near its maximum output power, by dynamically biasing the PA with absolute minimum voltage/current required, such that the PA efficiency increases to more than 50%.  This technique relies on adjusting the bias voltage level of the PA for every symbol and can be applied for up to 20-40 MHz BW signal.

Patented by Eta Devices and acquired recently by Nokia, AMO is an enhanced ET technique which changes the PA bias level after few symbols, instead of every symbol.  Therefore, AMO can be applied to signal up 160MHz BW, depending on the number of tracking symbols.

As a result of additional PA efficiency, simpler yet more efficient architectures and algorithms can be utilized for both BS and UE.

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Posted on October 26, 2016 

Interference Cancellation

Radio interference cancellation is a technique in which the interfering radio signal is suppressed by placing a null in radiation pattern of antenna or antenna array systems.  Far Field or Fraunhofer radiation pattern of an antenna is function of current or field distribution over the antenna aperture.

Antenna proximity can be divided to 3 regions; Reactive near field, Radiating /Fresnel near field, and Far Field/Fraunhofer.  Radio communication energy is targeted for Far Field of an Antenna.

The idea of radio interference cancellation via radiation pattern is similar to suppressing an unwanted signal via filter.  In fact, antenna is a “spatial filter”, see Similarities of Filter vs. Antenna, posted on August 5th.  This technique assumes that the direction of interfering signal is prior knowledge or dynamically can be detected.  By forming antenna arrays, the radiation pattern of over antenna array can be adjusted dynamically via phase relationship between each antenna feeding.  Alternatively, if the radio interfering signal is placed at side lobe of the radiation pattern, the unwanted signal strength can be adjusted via current or field distribution of antenna array.

5G technology will be utilizing interference cancellation technique to overcome unwanted signals.

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Posted on October 24, 2016

X50 Qualcomm MODEM

Recently, Qualcomm made a press release regarding 5G MODEM 10nm SoC, aka X50, and its capabilities.  The 5G NR has 3 radios, first one at 28GHz range with 5Gbps data rate and less than 100m range, 2nd radio is using bands between 1 – 6 GHz, aka mid band, and carrier aggregation technology, and 3rd radio is below 1GHz with available BW.

28GHz mmW band provide the maximum data rate with minimum range via beamforming technology, and when the radio signal is getting weak below certain threshold, there is a handoff to the strongest signal available in mid or low band.  The Mid and low bands are using MIMO, 802.11 and/or 4G Technologies. Mid band provides data rate of 1Gbps for the same range.  The low band provides the longest range with the lowest data rate, depending on the available BW.  The handoff algorithm appears to be working from any bands to another, depending on the RSSI level for the radio with higher data rate.

X50 is the first MODEM with multi platforms handoff capabilities to converge 4G, 802.11, into 5G technology and expected to sample and production launch in 2017 and 2018, respectively.

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Posted on October 19, 2016 

3D mmW Radar for Automotive

Radio Detection and Ranging, aka radar, has been used since WWII in military applications, then in Avionic, and recently entered into Automobile applications.  Automotive radar equipment are typically used for Collision Avoidance, however as Autonomous Car is becoming reality within few short years via advancement of wireless mobile communications, 5G, and connected cities, IoT, 3D mmW Radar will find its way into next generations of cars.

Originally, radar was meant to detect and provide the distance/range to the target.  Then, it evolved to provide the speed of the target using Doppler frequency shift of the Electromagnetic, EM, echo signal.  It further enhanced to estimate Time of Arrival, ToA, then Direction of Arrival, DoA, using pulsed waveform and measuring the round trip time of the echo signal. The EM echo is created by reflection from the target.  Target effective area seen by radar is called, Radar Cross Section, RCS.  Each target has its own radar signature/RCS and can be cataloged and used for identification with advance digital signal processing of the EM echo signal, aka radar signature.  Radars are characterized either by CW or Pulsed modulation.  CW radar is better for frequency resolution of the echo, which translate to speed of the target, whereas Pulsed radar is better suited for time resolution of the echo, which translate to ToA. 3D mmW radar will provide 3 dimensional field of view of the car.

There have been handfuls of companies that make radar units for car manufacturers.  Now that the market is growing exponentially and the car radar is more than feature on high end cars, automobile manufacturers have started investing internally on radar technology design and development.

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Posted on September 30, 2016

High Definition Sub Channels AM/FM Radio Market

Although, FCC and ETSI have long licensed digital broadcasting AM and FM radio stations, the High Definition, aka HD, radio broadcasting is taking shape nowadays.  Many radio stations have started implementing HD radio channels along with legacy analog for the very same station/channel.  That has created a new trend of HW and equipment demands for HD broadcast, car and handheld receivers in consumer market industry.  For instance some FM radio stations are introducing up to 3 HD channels for the same band.  Each HD channel is broadcasting different program, independently.

With the advancement of smart phone and radio stream capabilities, radio receiver has lost some ground during the past several years.  However, HD radio is gaining some momentum by being used as emergency means of communications.  It is safe to predict that HD radio will still be used in Africa, Middle East, Central Asia, and South America for communications and in Northern America and Europe for emergency responders.

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Posted on September 25, 2016

Analog vs. Digital Carrier Aggregation Architecture

LTE Carrier Aggregation, CA, is the latest advanced technique for achieving up to 600MBPS aka CAT12 throughputs.  This is done by combining 3 down link, 3DL20MHz, bands data.  Each channel can be either from the same or different bands, Intra or inter band, respectively.

From architecture stand point; there are 2 options to either aggregate the channels in Analog front end or digital base band.  The natural question becomes which technique is more feasible.

Analog Carrier Aggregation Architecture

The channels have to be processed via single wide or broad band analog front end receiver, go through single wideband ADC and subsequent DSP.

Digital Carrier Aggregation Architecture

The channels have to be processed separately in 3 narrowband analog front end receiver, each goes through dedicated ADC, and then aggregation occurs in the base band via DSP.

It is not only the semiconductor real estate but also the power consumption and the flexibility/freedom of aggregating any channel is of a great concern, too.

Each technique above has its own challenges and benefits.  The jury is out to decide which of these architectures is more feasible to handle CA efficiently.

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Posted on September 23, 2016

iPhone7 Tear Down Results

There are significant changes between iPhone7 relative to 6, starting with, 2 MODEM, Intel and Qualcomm.

Intel and Qualcomm MODEM are supporting ATT/T-Mobile and Verizon/Sprint carriers, respectively.

The RF front ends are also significantly different between Intel and Qualcomm baseband SoC.

There are over 30 various passive filters in each iPhone.

The followings are snap shots of both flavor of iPhone7 and respective silicon real estates for benefited companies.



Total Bill of Material cost is less than $300.00, while Retail price is at $749.00

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Posted on September 19, 2016

The Lumigon T3 Smart Phone Launches with MediaTek AP/MODEM

Lumigon is the new Danish Smart Phone manufacture and launching T3 model.

The Lumigon T3 Smart Phone model is using MediaTek X10 Helio 2.2GHz 64Bit Application Processor and 4 FDD and TDD LTE MODEM 28nm SoC.  This HD 4.8” touch screen display has 802.11ac dual band, BT, BLE, NFC connectivity, and infrared transceiver.  T3 model is equipped with GSM Quad, UMTS Quad, LTE Penta, and GPS GLONASS/BEIDOU radio bands.

T3 is based on Android 6.0 with 4MP night vision camera, first smart phone, 3GB RAM, 128GB memory and water resistance chassis.

Posted on September 16, 2016

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How to avoid Robocalls?

I get several Robot Calls, aka Robocall, every day.  It varies from IRS impersonator with thick foreign accent, Windows Tech Support who pretends to be in Atlanta, GA but does not know the local time there, research firm with long list of questioner, cold sales call from home/office improvement vendors or service contractors, local politician who runs for an office with political speech, and the list goes on.

Even though, it is entertaining in some aspect, since I have a brand new story to tell my family at the dinner table every night, but it becomes time consuming and distracting when you are in middle of an important business.

Wouldn’t’ be nice at this day and age, have an automated answer machine which is smart enough to pick up every call at the first ring, ask some typical questions that we can program into, and only notify us when the caller meets our criteria for legitimate call to respond to?

If this project interest you and willing to work on it, let’s start the conversation.

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Posted on September 15, 2016 

MIMO vs. Beamforming

MIMO is based on multiple antennas similar to antenna array however each antenna is working independently of other antennas.  The overall data is decomposed to lower data rate and each antenna is transmitting portion of that data, independently.  In essence MIMO is using spatial diversity and multiplexing for very high data rate transmission.  The spacing between each antenna is a wavelength to create adequate isolation while uncorrelated signals are picked up by each antenna.

Beamforming is achieved via Phased Array Antennas.  The Phased Array Antennas are based on array technologies which have been used extensively in military applications in the past 4 decades.  The antenna arrays electronically steers the beam to illuminate the intended target.  The beam steering occurs via changing the relative phase of each antenna element, such that the overall beam is formed of construction of Electromagnetic Waves at desired direction in the far field and produce higher SNR compare to single antenna at the receiver end.  The Phased Array Antennas are working together to achieve high gain/directional antenna, hence higher SNR at the receiver. The spacing between each antenna element is typically half wavelength to avoid grating lobe.

5G Technology will be utilizing massive MIMO as well as Beamforming, BF.  Massive MIMO is intended for below 6GHz, whereas BF will be used for mmW bands (i.e. where wavelength is in order of mm, e.g. 30GHz).

Posted on September 4, 2016

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Quantum Computing, QC

By 2017, CMOS semiconductor technology is reaching to 7nm gate-length.  That means in just a few short years, the CMOS technology could reach to less than nm or atom level gate-length.  Once that occurs, the classical deterministic mechanic theory and circuit logic model break down and will not hold anymore.  As a result, Quantum Mechanics phenomena, such as; Superposition and Entanglement theory will need to be used.  In 1952, Schrodinger formulated an equation which describes how the quantum state changes with time.  Post 2020 computers technology will be based on Quantum Computing, QC, techniques with capabilities to handle more sophisticated calculations and optimizations which are not feasible today and could drive future generation of application processors.

Several companies are investing on QC, such as; Google, Intel, IBM, Microsoft, D-Wave, and Rigetti QC.

Posted on August 27, 2016

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Apple RFIC Market Entry

Apple is preparing the launch of its own RFIC for some of its product lines.

RFIC production ramp is expected to be in 3Q2017 and potential product could be Ipad and/or Macbook’s Wireless Connectivity, WLAN.

It appears that Apple is still facing some issues with mastering Iphone front end RFIC architecture and design, as it is much more challenging requirements.  The target Iphone RFIC launch roadmap is 4Q2019.

Posted on August 9, 2016

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Similarities of Filter vs. Antenna

From the electrical engineering perspective, a filter is a device that passes signals of interest in the desired frequency band while discriminating other/undesired frequencies.

An antenna is typically considered a transducer device, which converts guided electromagnetic waves to spherical waves.

Both filters and antennas are typically passive devices and reciprocal (i.e. input and output can be swapped).  What is less known about antenna, yet can be mathematically shown is that it behaves as a “spatial filter”.

From the Fourier Transform theory, we know that a narrow pulse, in time domain, has a wide frequency/spectral content (i.e. time and frequency are reciprocal to each other).   To pass such a narrow pulse signal, a wide band filter is required.  Similarly, a narrow far-field antenna radiation pattern requires to pass wide “spatial frequencies”.  In other words, the antenna has to be electrically large (i.e. relative to wavelength). That is why, in the radio astronomy community, an antenna is viewed as “spatial filter”.

Posted on August 5, 2016

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5G Smart Phone Functional Block Diagram vs. Process Technologies

5G air interface will be in mmW bands and require additional capabilities from semiconductor in addition to Silicon.  It is widely believed that III-V compound semiconductor will have a place in the front end, FE, at least for PA.  Depending on the 5G architecture chosen and implemented, there could be other devices that would also rely on III-V compound.

Analog Mixed Signal, AMS, blocks will still be on Silicon.

Digital base band blocks will all be in Silicon with 10nm FinFET CMOS geometry or less.  Intel and TSMC are developing 7nm process technology for 2017 launch, which would be the state of art at the time.  Mask Layers tapeout will cost more than 10M$, originally.  Therefore, it is a significant cost for startups and costly to tolerate design issues and/or library models inaccuracies.

Appropriate architecture, topology, and design of SoC MODEM will be the key for the winner of 5G market SoC/MODEM.

5G Smart Phone Functional Diagram vs Process Tech

Posted on August 1, 2016

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5G MODEM/SoC design and development race is underway

Now that FCC allocated 5G spectrum and standardization is on fast track and perhaps expediting.  The race for 5G MODEM design and development is underway.  There are several known players, such as; Qualcomm, Samsung, MediaTek, Apple, Avago, Ericsson, and Intel.  There are also some lesser known startups which their focus is solely on this next generation of wireless communication systems.

2017 will be marked as the first 5G MODEM/SoC test chip by handful semiconductor companies which would be verifying their new architecture, topology, design, and sub 10nm geometry process.

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Posted on July 29, 2016 

5G Spectrum Allocations

On July 14th, FCC allocated 4 frequency bands above 24GHz to be used for 5G/next generation of wireless communication technology.

Here is snap shot of FCC ruling based on related documents.


Qualcomm, Ericsson, Verizon, Nokia, Samsung, XO, Straight Path, CTIA, TIA, Fiber Tower, and Intel’s representatives requested greater than 62dBm/100MHz EIRP level which was apparently accepted by FCC.

Now that we have FCC ruling behind us, 5G technology design, development, and deployment would gear into higher speed by industry to meet at 2020 Tokyo Summer Olympic.  This is generating larger momentum for new opportunities in high tech industry, especially in U.S.

Posted on July 15, 2016

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Google Mobile Device/Phone

Google has been working on Mobile HW for the past few years and is expected to release its Mobile Device/Phone in the last quarter of 2016.  Google has already established relationship with Infineon and using their RFIC transceiver for front end.  The MODEM to be used, however, is not revealed.  There are 4 choices in front of Google for MODEM silicon; Qualcomm, Intel, MediaTek, and Samsung.  In few short months, we will know who is chosen by Google.

Posted on July 3, 2016

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Qualcomm 5G New Radio

On June 27, Qualcomm announced a sub 6GHz 5G prototype new radio, NR, that is tailored version of its existing 802.11ac product line with albeit different modem, which “also supports a new integrated subframe design for significantly lower over-the-air latency than what is possible in today’s 4G LTE network.  The new prototype adds to Qualcomm Technologies’ existing 5G mmWave prototype system, operating at 28 GHz and capable of robust mobile broadband communications in non-line-of-sight environment, utilizing advanced beamforming and beam-steering techniques.”  Qualcomm is planning to showcase this NR at Mobile World Congress Shanghai held from June 29 to July 1, Qualcomm booth in Hall N2 booth C38.  The estimated range appears to be less than 100m for full 6.93Gbps throughput and meant for indoor non-line of sight, NLOS, environment.

Posted on June 27, 2016

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The Next Generation of Wearable is Here

Cicret is about to release the next generation of wearable technology, Bracelet, which is waterproof and provides bigger and more accessible interface, while it is small and light enough to be carried with you anywhere.

Take a look …

Posted on June 11, 2016

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Soli (Gesture Controlled Wearable)

On May 29th Google released video of Soli project.  Soli consists of 60GHz Infineon transceiver radar (radio detection and ranging) 28nm CMOS IC based on 802.11ad Standard.  Radar works based on electromagnetic waves echo from objects within its view.  Soli also uses phase array antenna technology.  According to Google, “Soli has no moving parts and fits onto a chip and consumes little energy”.  This is a game changer for new gadget in consumer electronics and will find many applications.  If you are interested, read more at the link below;

Posted on June 6, 2016

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Third Wave

Technology advancement is continuous throughout the time.

It is widely believed that there has been couple of significant changes/revolution within the industry already.

1st Industrial Revolution – ~1800

The 1st revolution occurred when power steam engines consequently locomotive were invented.

That changed the productivity level to higher volume and differentiated advanced technological from traditional communities.

2nd Industrial Revolution – ~1900

The 2nd revolution occurred when electricity and automobile were invented.

Electricity created many new jobs/opportunities such as electrician and electrical engineers in electrical appliance manufacturing/industry.

Travelling became more common and personalized as a result of automobile.  Roads constructions, automotive parts manufacturing, auto mechanics were new jobs to name some examples.

3rd Industrial Revolution, aka 3rd Wave – 2020

Third wave will refer to advance of Mobile/Wireless Handheld Communications to its highest level and accessibility of massive amount of data/information instantly to mass populations.  Just like 1st and 2nd industrial revolutions, many new jobs with more advanced skills will flourish while perhaps replacing some of the older jobs.  Before 1990, we had to go to library to get access to books, journals, and scientific papers.  With introduction of internet, we are now able to access all of the above from our convenient of office/home across the globe, so long as we are online.

5G will enable the same level of access from the mobile handset device that you carry as you roam across country.  In addition, IoT will enable to control appliances and devices around your home and/or office from the very same mobile handset.  New automobiles and Smart Cities will communicate with each other.

This level of connectivity and accessibility to information will be the 3rd Wave of industrial revolution.

With enablement of autonomous/self-deriving cars and its non-fault experience, automobile insurance policy may vanish.  On the other hand, new opportunities for the cyber security will become top third of concern because of massive confidential data availability on the cloud.

Research and design can be decentralized to allow scientists to work from their own office where they choose.

Medical specialist such as radiologist will not necessarily have to go to hospital and/or clinic to work, as they can access patient data, evaluate, diagnose, and provide feedback from distance of their home office to staff and patients.

Real estate would change their business model to accommodate 5G and IoT technologies and change in demand for office buildings.

Online education will flourish and may replace traditional classroom for large scenarios.

Robot with analytic and learning skills will be introduced to consumer market.

Virtual reality will replace 2D video call for meeting family and friends.  Soccer/football event in Germany could be seen in England in another stadium in 3D Video and Audio with Virtual Reality Network, VRN.

5G and IoT will touch every aspect of our lives; education, medical, transportation, communication, security, housing, entertainment, sports, and the way we conduct our job/work/business.

5G Market Segment

Posted on April 10, 2016

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5G and IoT Technologies Wave


FCC and ITU will allocate 5G spectrum, after which, IEEE and 5GPPP are expected to release 5G Mobile Standards.  This will enable the industry to effectively put together resources to work on 5G product roadmap.  There are some obvious companies that we know of, and some others who are not on radar but will be involved, such as; Insurance and Cyber Security firms.



Carriers will begin their base station design and development.  Some already have head start with R&D expenditure in previous years and some level of infrastructure designed, yet still have to finalize their product definitions, design, and launch development process into full gear.


Semiconductor companies will finalize their product definitions, such as; MODEM architecture, coding techniques, data converters and RF/Microwave front end requirements.  It is worth mentioning that larger companies already have test chip for 5G architectures, by then, they will organically assign/new hire for design and development teams.  PA, ADC/DAC, and MODEM requirements will be completely revolutionary in design goals, not only support over 1GHz bandwidth also with power consumption of at least one order of magnitude less.  Antenna and PA designers will have plenty of new opportunities.  While III-V semiconductor materials will become reality in consumer electronics for mass production.

New Servers architectures with tremendous work load capacity will be designed.


This will be the next big wave of significant changes to automotive industry.  Autonomous/self-driving vehicles will be the target.  This would trigger a complete vertical change of ecosystem which supports that industry including insurance company’s business model or lack thereof for insuring non-fault vehicles.


Insurance companies will change their business model from ground up in order to take into account 5G and IoT technologies wave.

Cyber Security

With capabilities of 5G and  IoT, Cyber Security will be on the top 3 list of importance and this industry will begin to exponentially grow to address various new businesses related to 5G and IoT technologies wave.


The first 5G MODEM Silicon and mmW Front End III-V will be available for design verification.  Trial Servers and Base Stations will be deployed across various Northern America, Europe, and Asia.

Field and Network verification will be conducted in metropolitan.


The first wave of handheld mobile 5G devices will be available in Asia.  By now, many cities have already implemented thousands of wireless sensors to acquire and report data, while, the network is still being developed. Issues reported in field will be addressed by appropriate SW download.


Consumer interests and engagements will be valued by carriers with special early deals for conversion to 5G.  Metropolitan 5G networks and services will be installed and verified across multiple cities around globe.

5G and IoT technologies wave arrives at Northern America, Europe, and Asia.

Internet of Things, IoT, will be new reality.

The first 5G ecosystems will be available just in time for Tokyo Olympic via 1st Tier manufacturers.

Posted on April 1, 2016

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Looking Back/Rear View

In order to capture the trend of wireless communications technologies and industries, it is worthwhile to glance back at where we have traveled to get to this point in time.  The following provides a brief history of Mobile Wireless Communication Systems and may lead us to envision some of the advances in technology that will come our way.

1G – 1980’s

The first wireless communication technology, 1G, relied on analog modulation which had been used over several decades prior to mobile communications for Radio and TV broadcasting applications.  Like cars in early 1900, 1G was used by very limited population and perceived to be luxury for only voice communications.  Front end architecture was super heterodyne. Today, 1G platform is no longer being used and obsoleted.

2G – 1990’s

The 2nd generation relied on digital wireless communication which enhanced spectrum efficiency, data security, and noise immunity over 1G.  This was a huge leap over 1G and was more popular and available to larger populations.  By this time, industries and investors had already realized the potential business and the expansions were happening at incredible speed. ZIF architecture became feasible and used for the 1st time in volume production of consumer electronics.  AT&T has just announced that it will no longer support 2G platform.  In spite of that, Middle East, China, India and perhaps African counties still rely on this technology for legacy and customer introductory services.

3G – 2000’s

Code Division Multiple Access, aka CDMA, was introduced and established by Qualcomm as the most efficient use of spectrum, hence more customers for service providers, and rapidly replaced 2G in North America and Europe, and is still creating new revenue/business in Asia and remaining countries.  By now, wireless digital communication became the means of many new businesses around the globe.  Telecommuting services starts being deployed.  ZIF remained the architecture of choice for 3G front end.

4G – 2010’s

The need for higher data rate, bandwidth, and spectrum efficiency, brought Orthogonal Frequency Multiplexing Access, aka OFDM, for greater than 5MHz bandwidth requirements.  This is the current technology of choice which has evolved into Carrier Aggregation, CA, over the past few years and will continue to do so, for next couple of years.  The data rate and/or bandwidth are scalable based on the user needs and service provider capacity.  Envelope Tracking, ET algorithm is utilized for advanced Tx to enhance PA efficiency, i.e. battery recharge cycle.  Multiple Inputs Multiple Outputs, aka MIMO is introduced in this technology.

5G – 2020 – Back to the Future…              

Where would it take us?

 Spectral Efficiency

Posted on March 24, 2016

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5G Outlook

By 2020, 5G will be connecting 50 billion devices to the internet.  The capacity of data transfer will reach 10Gbps for downloading from the network, while the latency will be minimal.  All of these will be handled with more spectrum efficient modulation schemes and more importantly extreme low power computing, bit per Joule, consumption comparing to today’s technology.

MIMO will be at the heart of these achievements and number of antennas used in mobile devices will be at least an order of magnitude higher, 10x, to enable beamforming of mobile handsets for the first time.

MEMS phase shifters and III-V semiconductor materials will be utilized for front ends.

ET and DPD algorithms will reach new high to increase power efficiency of transmitters’ front ends, while SDR receiver will be utilized to achieve low latency.

Various partitions of mmW spectrum will be used around the globe to address required BW.

The unraveling will begin with the release of 5G Spectrum and Standard by FCC/ITU and 5GPPP, respectively, in 2016.

Posted on March 17, 2016

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