5G millimeter wave cellular system capacity with fully digital beamforming

Due to heavy reliance of millimeter-wave (mmWave) wireless systems on directional links, Beamforming (BF) with high-dimensional arrays is essential for cellular systems in these frequencies. How to perform the array processing in a power efficient manner is a fundamental challenge. Analog and hybrid BF require fewer analog-to-digital converters (ADCs), but can only communicate in a small number of directions at a time, limiting directional search, spatial multiplexing and control signaling. Digital BF enables flexible spatial processing, but must be operated at a low quantization resolution to stay within reasonable power levels. This paper presents a simple additive white Gaussian noise (AWGN) model to assess the effect of low-resolution quantization of cellular system capacity. Simulations with this model reveal that at moderate resolutions (3–4 bits per ADC), there is negligible loss in downlink cellular capacity from quantization. In essence, the low-resolution ADCs limit the high SNR, where cellular systems typically do not operate. The findings suggest that low-resolution fully digital BF architectures can be power efficient, offer greatly enhanced control plane functionality and comparable data plane performance to analog BF.

[1]  Sundeep Rangan,et al.  Frame Structure Design and Analysis for Millimeter Wave Cellular Systems , 2015, IEEE Transactions on Wireless Communications.

[2]  Angel Lozano,et al.  Long-Term Transmit Beamforming for Wireless Multicasting , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[3]  Sundeep Rangan,et al.  Low power analog-to-digital conversion in millimeter wave systems: Impact of resolution and bandwidth on performance , 2015, 2015 Information Theory and Applications Workshop (ITA).

[4]  K. Ramchandran,et al.  Robust Predictive Quantization: Analysis and Design Via Convex Optimization , 2007, IEEE Journal of Selected Topics in Signal Processing.

[5]  Robert W. Heath,et al.  Channel estimation in millimeter wave MIMO systems with one-bit quantization , 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

[6]  Arthur H. M. van Roermund,et al.  A 60 GHz Phase Shifter Integrated With LNA and PA in 65 nm CMOS for Phased Array Systems , 2010, IEEE Journal of Solid-State Circuits.

[7]  Robert W. Heath,et al.  High SNR capacity of millimeter wave MIMO systems with one-bit quantization , 2014, 2014 Information Theory and Applications Workshop (ITA).

[8]  Theodore S. Rappaport,et al.  Millimeter Wave Channel Modeling and Cellular Capacity Evaluation , 2013, IEEE Journal on Selected Areas in Communications.

[9]  A.F. Molisch,et al.  Variable-phase-shift-based RF-baseband codesign for MIMO antenna selection , 2005, IEEE Transactions on Signal Processing.

[10]  Robert H. Walden,et al.  Analog-to-digital converter survey and analysis , 1999, IEEE J. Sel. Areas Commun..

[11]  Preben E. Mogensen,et al.  LTE Capacity Compared to the Shannon Bound , 2007, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring.

[12]  Davood Shahrjerdi,et al.  A 700 μW 1GS/s 4-bit folding-flash ADC in 65nm CMOS for wideband wireless communications , 2016, 2017 IEEE International Symposium on Circuits and Systems (ISCAS).

[13]  Theodore S. Rappaport,et al.  Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges , 2014, Proceedings of the IEEE.

[14]  Zhouyue Pi,et al.  An introduction to millimeter-wave mobile broadband systems , 2011, IEEE Communications Magazine.

[15]  Upamanyu Madhow,et al.  On the limits of communication with low-precision analog-to-digital conversion at the receiver , 2009, IEEE Transactions on Communications.

[16]  Pei Liu,et al.  Directional Cell Discovery in Millimeter Wave Cellular Networks , 2014, IEEE Transactions on Wireless Communications.

[17]  Sundeep Rangan,et al.  Initial Access in Millimeter Wave Cellular Systems , 2015, IEEE Transactions on Wireless Communications.