Efficient and Linear CMOS Power Amplifier and Front-end Design for Broadband Fully-Integrated 28-GHz 5G Phased Arrays

Demand for data traffic on mobile networks is growing exponentially with time and on a global scale. The emerging fifth-generation (5G) wireless standard is being developed with millimeter-wave (mm-Wave) links as a key technological enabler to address this growth by a 2020 time frame. The wireless industry is currently racing to deploy mm-Wave mobile services, especially in the 28-GHz band. Previous widely-held perceptions of fundamental propagation limitations were overcome using phased arrays. Equally important for success of 5G is the development of low-power, broadband user equipment (UE) radios in commercial-grade technologies. This dissertation demonstrates design methodologies and circuit techniques to tackle the critical challenge of key phased array front-end circuits in low-cost complementary metal oxide semiconductor (CMOS) technology. Two power amplifier (PA) proof-of-concept prototypes are implemented in deeply scaled 28- nm and 40-nm CMOS processes, demonstrating state-of-the-art linearity and efficiency for extremely broadband communication signals. Subsequently, the 40 nm PA design is successfully embedded into a low-power fully-integrated transmit-receive front-end module. The 28 nm PA prototype in this dissertation is the first reported linear, bulk CMOS PA targeting low-power 5G mobile UE integrated phased array transceivers. An optimization methodology is presented to maximizing power added efficiency (PAE) in the PA output stage at a desired error vector magnitude (EVM) and range to address challenging 5G uplink requirements. Then, a source degeneration inductor in the optimized output stage is shown to further enable its embedding into a two-stage transformer-coupled PA. The inductor helps by broadening inter-stage impedance matching bandwidth, and helping to reduce distortion. Designed and fabricated in 1P7M 28 nm bulk CMOS and using a 1 V supply, the PA achieves +4.2 dBm/9% measured Pout/PAE at −25 dBc EVM for a 250 MHz-wide, 64-QAM orthogonal frequency division multiplexing (OFDM) signal with 9.6 dB peak-to-average power ratio (PAPR). The PA also achieves 35.5%/10% PAE for continuous wave signals at saturation/9.6dB back-off from saturation. To the best of the author’s knowledge, these are the highest measured PAE values among published K- and K a-band CMOS PAs to date. To drastically extend the communication bandwidth in 28 GHz-band UE devices, and to explore the potential of CMOS technology for more demanding access point (AP) devices, the second PA is demonstrated in a 40 nm process. This design supports a signal radio frequency bandwidth (RFBW) >3× the state-of-the-art without degrading output power (i.e. range), PAE (i.e. battery life), or EVM (i.e. amplifier fidelity). The three-stage PA uses higher-order, dual-resonance transformer matching networks with bandwidths optimized for wideband linearity. Digital gain control of 9 dB range is integrated for phased array operation. The gain control is a needed functionality, but it is largely absent from reported high-performance mm-Wave PAs in the literature. The PA is fabricated in a 1P6M 40 nm CMOS LP technology with 1.1 V supply, and achieves Pout/PAE of +6.7 dBm/11% for an 8×100 MHz carrier aggregation 64-QAM OFDM signal with 9.7 dB PAPR. This PA therefore is the first to demonstrate the viability of CMOS technology to address even the very challenging 5G AP/downlink signal bandwidth requirement. Finally, leveraging the developed PA design methodologies and circuits, a low power transmit-receive phased array front-end module is fully integrated in 40 nm technology. In transmit-mode, the front-end maintains the excellent performance of the 40 nm PA: achieving +5.5 dBm/9% for the same 8×100 MHz carrier aggregation signal above. In receive-mode, a 5.5 dB noise figure (NF) and a minimum third-order input intercept point (IIP₃) of −13 dBm are achieved. The performance of the implemented CMOS frontend is comparable to state-of-the-art publications and commercial products that were very recently developed in silicon germanium (SiGe) technologies for 5G communication

KEY FRONT-END CIRCUITS IN MILLIMETER-WAVE SILICON-BASED WIRELESS TRANSMITTERS FOR PHASED-ARRAY APPLICATIONS

Millimeter-wave (mm-Wave) phased arrays have been widely used in numerous wireless systems to perform beam forming and spatial filtering that can enhance the equivalent isotropically radiated power (EIRP) for the transmitter (TX). Regarding the existing phased-array architectures, an mm-Wave transmitter includes several building blocks to perform the desired delivered power and phases for wireless communication. Power amplifier (PA) is the most important building block. It needs to offer several advantages, e.g., high efficiency, broadband operation and high linearity. With the recent escalation of interest in 5G wireless communication technologies, mm-Wave transceivers at the 5G frequency bands (e.g., 28 GHz, 37 GHz, 39 GHz, and 60 GHz) have become an important topic in both academia and industry. Thus, PA design is a critical obstacle due to the challenges associated with implementing wideband, highly efficient and highly linear PAs at mm-Wave frequencies. In this dissertation, we present several PA design innovations to address the aforementioned challenges. Additionally, phase shifter (PS) also plays a key role in a phased-array system, since it governs the beam forming quality and steering capabilities. A high-performance phase shifter should achieve a low insertion loss, a wide phase shifting range, dense phase shift angles, and good input/output matching.Ph.D

Four-element phased-array beamformers and a self-interference canceling full-duplex transciver in 130-nm SiGe for 5G applications at 26 GHz

This thesis is on the design of radio-frequency (RF) integrated front-end circuits for next generation 5G communication systems. The demand for higher data rates and lower latency in 5G networks can only be met using several new technologies including, but not limited to, mm-waves, massive-MIMO, and full-duplex. Use of mm-waves provides more bandwidth that is necessary for high data rates at the cost of increased attenuation in air. Massive-MIMO arrays are required to compensate for this increased path loss by providing beam steering and array gain. Furthermore, full duplex operation is desirable for improved spectrum efficiency and reduced latency. The difficulty of full duplex operation is the self-interference (SI) between transmit (TX) and receive (RX) paths. Conventional methods to suppress this interference utilize either bulky circulators, isolators, couplers or two separate antennas. These methods are not suitable for fully-integrated full-duplex massive-MIMO arrays. This thesis presents circuit and system level solutions to the issues summarized above, in the form of SiGe integrated circuits for 5G applications at 26 GHz. First, a full-duplex RF front-end architecture is proposed that is scalable to massive-MIMO arrays. It is based on blind, RF self-interference cancellation that is applicable to single/shared antenna front-ends. A high resolution RF vector modulator is developed, which is the key building block that empowers the full-duplex frontend architecture by achieving better than state-of-the-art 10-b monotonic phase control. This vector modulator is combined with linear-in-dB variable gain amplifiers and attenuators to realize a precision self-interference cancellation circuitry. Further, adaptive control of this SI canceler is made possible by including an on-chip low-power IQ downconverter. It correlates copies of transmitted and received signals and provides baseband/dc outputs that can be used to adaptively control the SI canceler. The solution comes at the cost of minimal additional circuitry, yet significantly eases linearity requirements of critical receiver blocks at RF/IF such as mixers and ADCs. Second, to complement the proposed full-duplex front-end architecture and to provide a more complete solution, high-performance beamformer ICs with 5-/6- b phase and 3-/4-b amplitude control capabilities are designed. Single-channel, separate transmitter and receiver beamformers are implemented targeting massive- MIMO mode of operation, and their four-channel versions are developed for phasedarray communication systems. Better than state-of-the-art noise performance is obtained in the RX beamformer channel, with a full-channel noise figure of 3.3 d

Array Architectures and Physical Layer Design for Millimeter-Wave Communications Beyond 5G

Ever increasing demands in mobile data rates have resulted in exploration of millimeter-wave (mmW) frequencies for the next generation (5G) wireless networks. Communications at mmW frequencies is presented with two keys challenges. Firstly, high propagation loss requires base stations (BSs) and user equipment (UEs) to use a large number of antennas and narrow beams to close the link with sufficient received signal power. Consequently, communications using narrow beams create a new challenge in channel estimation and link establishment based on fine angular probing. Current mmW system use analog phased arrays that can probe only one angle at the time which results in high latency during link establishment and channel tracking. It is desirable to design low latency beam training by exploring both physical layer designs and array architectures that could replace current 5G approaches and pave the way to the communications for frequency bands in higher mmW band and sub-THz region where larger antenna arrays and communications bandwidth can be exploited. To this end, we propose a novel signal processing techniques exploiting unique properties of mmW channel, and show both theoretically, in simulation and experiments its advantages over conventional approaches. Secondly, we explore different array architecture design and analyze their trade-offs between spectral efficiency and power consumption and area. For comprehensive comparison, we have developed a methodology for optimal design of system parameters for different array architecture candidates based on the spectral efficiency target, and use these parameters to estimate the array area and power consumption based on the circuits reported in the literature. We show that the hybrid analog and digital architectures have severe scalability concerns in radio frequency signal distribution with increased array size and spatial multiplexing levels, while the fully-digital array architectures have the best performance and power/area trade-offs.The developed approaches are based on a cross-disciplinary research that combines innovation in model based signal processing, machine learning, and radio hardware. This work is the first to apply compressive sensing (CS), a signal processing tool that exploits sparsity of mmW channel model, to accelerate beam training of mmW cellular system. The algorithm is designed to address practical issues including the requirement of cell discovery and synchronization that involves estimation of angular channel together with carrier frequency offset and timing offsets. We have analyzed the algorithm performance in the 5G compliant simulation and showed that an order of magnitude saving is achieved in initial access latency for the desired channel estimation accuracy. Moreover, we are the first to develop and implement a neural network assisted compressive beam alignment to deal with hardware impairments in mmW radios. We have used 60GHz mmW testbed to perform experiments and show that neural networks approach enhances alignment rate compared to CS. To further accelerate beam training, we proposed a novel frequency selective probing beams using the true-time-delay (TTD) analog array architecture. Our approach utilizes different subcarriers to scan different directions, and achieves a single-shot beam alignment, the fastest approach reported to date. Our comprehensive analysis of different array architectures and exploration of emerging architectures enabled us to develop an order of magnitude faster and energy efficient approaches for initial access and channel estimation in mmW systems