CMOS Data Converters for Closed-Loop mmWave Transmitters

With the increased amount of data consumed in mobile communication systems, new solutions for the infrastructure are needed. Massive multiple input multiple output (MIMO) is seen as a key enabler for providing this increased capacity. With the use of a large number of transmitters, the cost of each transmitter must be low. Closed-loop transmitters, featuring high-speed data converters is a promising option for achieving this reduced unit cost.In this thesis, both digital-to-analog (D/A) and analog-to-digital (A/D) converters suitable for wideband operation in millimeter wave (mmWave) massive MIMO transmitters are demonstrated. A 2 76 bit radio frequency digital-to-analog converter (RF-DAC)-based in-phase quadrature (IQ) modulator is demonstrated as a compact building block, that to a large extent realizes the transmit path in a closed-loop mmWave transmitter. The evaluation of an successive-approximation register (SAR) analog-to-digital converter (ADC) is also presented in this thesis. Methods for connecting simulated and measured performance has been studied in order to achieve a better understanding about the alternating comparator topology.These contributions show great potential for enabling closed-loop mmWave transmitters for massive MIMO transmitter realizations

Digitally Controlled Oscillator for mm-Wave Frequencies

In the fifth generation of mobile communication, 5G, frequencies above 30 GHz, so-called millimeter-wave (mm-wave) frequencies are expected to play a prominent role. For the synthesis of these frequencies, the all-digital phase locked loop (ADPLL) has recently gained much attention. A core component of the ADPLL is the digitally controlled oscillator (DCO), an oscillator that tunes the frequency discretely. For good performance, the frequency steps must be made very small, while the total tuning range must be large. This thesis covers several coarse- and fine-tuning techniques for DCOs operating at mm-wave frequencies. Three previously not published fine-tuning schemes are presented: The first one tunes the second harmonic, which will, due to the Groszkowski effect, tune the fundamental tone. The second one is a current-modulation scheme, which utilizes the weak current-dependence of the capacitance of a transistor to tune the frequency. In the third one, a digital-to-analog converter (DAC) is connected to the bulk of the differential pair and tunes the frequency by setting the bulk voltage. The advantages and disadvantages of the presented tuning schemes are discussed and compared with previously reported fine-tuning schemes. Two oscillators were implemented at 86 GHz. Both oscillator use the same oscillator core and hence have the same power consumption and tuning range, 14.1 mW and 13.9%. A phase noise of -89.7 dBc/Hz and -111.4 dBc/Hz at 1 MHz and 10 MHz offset, respectively, were achieved, corresponding to a Figure-of-Merit of -178.5 dBc/Hz. The first oscillator is fine-tuned using a combination of a transformer-based fine-tuning and the current modulation scheme presented here. The achieved frequency resolution is 55 kHz, but can easily be made finer. The second oscillator utilizes the bulk bias technique to achieve its fine tuning. The fine-tuning resolution is here dependent on the resolution of the DAC; a 100μV resolution corresponds to a resolution of 50 kHz.n 2011, the global monthly mobile data usage was 0.5 exabytes, or 500 million gigabytes. In 2016, this number had increased to 7 exabytes, an increase by a factor 14 in just five years, and there are no signs of this trend slowing down. To meet the demands of the ever increasing data usage, engineers have begun to investigate the possibility to use significantly higher frequencies, 30 GHz or higher, for mobile communication than what is used today, which is 3 GHz or below. To be able to transmit and receive data at these high frequency, an oscillator capable of operating at these frequencies are required. An oscillator is an electrical circuit that generates an alternating current (a current that first goes one way, and then the other) at a specific frequency. Below is an example to illustrate to function and importance of the oscillator: Imagine driving a car and listening to the radio. Suddenly, a horrendous song starts playing from the radio, so you instantly tune to another station and find some great, smooth jazz. Satisfied, you lean back and drive on. But what exactly happened when you "tuned to another station"? What you really did was changing the frequency of the oscillator, which can be found in the radio receiver of the car. The radio receiver filters out all frequencies, except for the frequency of the local oscillator. So by setting the frequency of the local oscillator to the frequency of the desired radio channel, only this radio channel will reach the speakers of the car. Thus, the oscillator must be able to vary its frequency to any frequency that a radio station can transmit on. While an old car radio may seem like a simple example, the very same principle is used in mobile communication, even at frequencies above 30 GHz. The oscillator is also used in the same way when transmitting signals, so that the signals are transmitted on the correct frequency. The design of the local oscillator is a hot topic among radio engineers. A poorly designed oscillator will ruin the performance of the whole receiver or transmitter. This thesis covers the design of a special type of oscillators, called digital controlled oscillators or DCO, operating at 30 GHz or higher. The frequency of these oscillators are determined by a digital word (ones and zeros), instead of using an analog voltage, which is traditionally used. Digital control results in greater flexibility and higher noise-resilience, but it also means that the frequency can’t be changed continuously, but rather in discrete steps. This discrete behavior will cause noise in the receiver. To minimize this noise, the frequency steps should be minimized. In this thesis, we have proposed a DCO design, operating at 85.5 GHz, which can be tuned almost 7 % in either direction. To our knowledge, no other DCO operates at such high frequencies. In the proposed oscillators the frequency steps are only 55 kHz apart, which is so small that its effect on the radio receiver can, with a good conscience, be ignored. This is achieved with a novel technique that makes tiny, tiny changes in the current that passes through the oscillator

Efficient DSP and Circuit Architectures for Massive MIMO: State-of-the-Art and Future Directions

Massive MIMO is a compelling wireless access concept that relies on the use of an excess number of base-station antennas, relative to the number of active terminals. This technology is a main component of 5G New Radio (NR) and addresses all important requirements of future wireless standards: a great capacity increase, the support of many simultaneous users, and improvement in energy efficiency. Massive MIMO requires the simultaneous processing of signals from many antenna chains, and computational operations on large matrices. The complexity of the digital processing has been viewed as a fundamental obstacle to the feasibility of Massive MIMO in the past. Recent advances on system-algorithm-hardware co-design have led to extremely energy-efficient implementations. These exploit opportunities in deeply-scaled silicon technologies and perform partly distributed processing to cope with the bottlenecks encountered in the interconnection of many signals. For example, prototype ASIC implementations have demonstrated zero-forcing precoding in real time at a 55 mW power consumption (20 MHz bandwidth, 128 antennas, multiplexing of 8 terminals). Coarse and even error-prone digital processing in the antenna paths permits a reduction of consumption with a factor of 2 to 5. This article summarizes the fundamental technical contributions to efficient digital signal processing for Massive MIMO. The opportunities and constraints on operating on low-complexity RF and analog hardware chains are clarified. It illustrates how terminals can benefit from improved energy efficiency. The status of technology and real-life prototypes discussed. Open challenges and directions for future research are suggested.Comment: submitted to IEEE transactions on signal processin

Implementation of a 200 MSps 12-bit SAR ADC

Analog-to-digital converters (ADCs) with high conversion frequency, often based on pipelined architectures, are used for measuring instruments, wireless communication and video applications. Successive approximation register (SAR) converters offer a compact and power efficient alternative but the conversion speed is typically designed for lower frequencies. In this thesis a low-power 12-bit 200 MSps SAR ADC based on charge redistribution was designed for a 28 nm CMOS technology. The proposed design uses an efficient SAR algorithm (merged capacitor switching procedure) to reduce power consumption due to capacitor charging by 88 % compared to a conventional design, as well as reducing the total capacitor area by half. Sampling switches were bootstrapped for increased linearity compared to simple transmission gates. Another feature of the low power design is a fully-dynamic comparator which does not require a preamplifier. Pre-layout simulations of the SAR ADC with 800 MHz input frequency shows an SNDR of 64.8 dB, corresponding to an ENOB of 10.5, and an SFDR of 75.3 dB. The total power consumption is 1.77 mW with an estimated value of 500 W for the unimplemented digital logic. Calculation of the Schreier figure-of-merit was done with an input signal at the Nyquist frequency. The simulated SNDR, SFDR and power equals 69.5 dB, 77.3 dB and 1.9 mW respectively, corresponding to a figure-of merit of 176.6 dB.Från analogt till digitalt - snabba och strömsnåla omvandlare Dagens digitala samhälle ställer höga krav på prestanda och effektivitet. I samarbete med Ericsson i Lund har en krets för signalomvandling utvecklats. Genom smart design uppnås hög hastighet och låg strömförbrukning som ligger i forskningens framkant. Från analogt till digitalt Ett viktigt byggblock för telekommunikation och videoapplikationer är så kallade A/D-omvandlare, som översätter mellan analoga signaler (till exempel ljud) och digitala signaler bestående av ettor och nollor. En väldigt effektiv metod för A/D-omvandling bygger på så kallad successiv approximation. Metoden innebär att signalen som ska omvandlas jämförs med en referensnivå, som stegvis justeras för att närma sig signalens värde. Till slut har man en tillräckligt god uppskattning av värdet som ska mätas. Just en sådan omvandlare har utvecklats med höga krav på hastighet och energiförbrukning. Detta gjordes genom datorsimuleringar av modeller som beskriver kretsen. Referensnivån skapas ofta genom att styra ett nätverk som lagrar elektrisk laddning. Omvandlingens noggrannhet, eller upplösning, beror på hur många nivåer som finns tillgängliga det vill säga hur nära signalens värde man kan komma. I den designade kretsen finns hela 4096 nivåer! Det finns många källor till osäkerhet i systemet, bland annat hur exakta referensnivåerna är och hur bra jämförelsen med insignalen kan göras. Eftersom dessa eventuellt kan leda till en försämring av omvandlingens noggrannhet måste alla delar i kretsen utformas med detta i åtanke. Höga hastigheter Eftersom det krävs många steg för referensnivån att närma sig signalens värde är den maximala omvandlingshastigheten ofta begränsad. Med teknikens utveckling öppnas nya möjligheter i takt med att mikrochippens enskilda komponenter blir snabbare. Modern forskning visar att omvandlare baserade på successiv approximation kan uppnå hastigheter på flera miljoner mätvärden varje sekund, vilket även den utvecklade kretsen klarar av. Effektiv design Nya metoder för successiv approximation möjliggör stora besparingar när det gäller effektförbrukning, till exempel genom att effektivisera upp- och urladdningen av nätverket. Genom små ändringar kunde nätverkets energiförbrukning minskas med över 90 % samtidigt som dess area halverades. Eftersom produktionskostnaden för integrerade kretsar är hög medför varje minskning av kretsens area att kostnaden sjunker