Power Scaling and Antenna Selection Techniques for Hybrid Beamforming in mmWave Massive MIMO Systems

Authors

  • Abdul Haq Nalband REVA University
  • Mrinal Sarvagya REVA University
  • Mohammed Riyaz Ahmed REVA University

Abstract

With the advent of massive MIMO and mmWave, Antenna selection is the new frontier in hybrid beamforming employed in 5G base stations. Tele-operators are reworking on the components while upgrading to 5G where the antenna is a last-mile device. The burden on the physical layer not only demands smart and adaptive antennas but also an intelligent antenna selection mechanism to reduce power consumption and improve system capacity while degrading the hardware cost and complexity. This work focuses on reducing the power consumption and finding the optimal number of RF chains for a given millimeter wave massive MIMO system. At first, we investigate the power scaling method for both perfect Channel State Information (CSI) and imperfect CSI where the power is reduced by 1/number of antennas and 1/square root (number of antennas) respectively. We further propose to reduce the power consumption by emphasizing on the subdued resolution of Analog-to-Digital Converters (ADCs) with quantization awareness. The proposed algorithm selects the optimal number of antenna elements based on the resolution of ADCs without compromising on the quality of reception. The performance of the proposed algorithm shows significant improvement when compared with conventional and random antenna selection methods.

Author Biographies

Abdul Haq Nalband, REVA University

Electronics and Communication Engineering

Mrinal Sarvagya, REVA University

Electronics and Communication Engineering

Mohammed Riyaz Ahmed, REVA University

Electronics and communication Engineering

References

Ngo, Hien Quoc, Erik G. Larsson, and Thomas L. Marzetta. "Energy and spectral efficiency of very large multiuser MIMO systems." IEEE Transactions on Communications 61.4 (2013): 1436-1449.

Hoydis, Jakob, Stephan Ten Brink, and Mérouane Debbah. "Massive MIMO in the UL/DL of cellular networks: How many antennas do we need?." (2013).

Larsson, Erik G., et al. "Massive MIMO for next generation wireless systems." IEEE communications magazine 52.2 (2014): 186-195.

Roh, Wonil, et al. "Millimeter-wave beamforming as an enabling technology for 5G cellular communications: Theoretical feasibility and prototype results." IEEE communications magazine 52.2 (2014): 106-113.

Wang, Cheng-Xiang, et al. "Cellular architecture and key technologies for 5G wireless communication networks." IEEE communications magazine 52.2 (2014): 122-130.

Kutty, Shajahan, and Debarati Sen. "Beamforming for millimeter wave communications: An inclusive survey." IEEE Communications Surveys & Tutorials 18.2 (2015): 949-973.

Lu, Lu, et al. "An overview of massive MIMO: Benefits and challenges." IEEE journal of selected topics in signal processing 8.5 (2014): 742-758.

Zhang, Qi, et al. "Power scaling of uplink massive MIMO systems with arbitrary-rank channel means." IEEE Journal of Selected Topics in Signal Processing 8.5 (2014): 966-981.

Zhu, Jun, and Wei Xu. "Securing massive MIMO via power scaling." IEEE Communications Letters 20.5 (2016): 1014-1017.

Liu, Wenjia, Shengqian Han, and Chenyang Yang. "Energy efficiency scaling law of massive MIMO systems." IEEE Transactions on Communications 65.1 (2016): 107-121.

Xu, Wei, et al. "Spectral and energy efficiency of multi-pair massive MIMO relay network with hybrid processing." IEEE Transactions on Communications 65.9 (2017): 3794-3809.

Jin, Si-Nian, Dian-Wu Yue, and Ha H. Nguyen. "Power scaling laws of massive MIMO full-duplex relaying with hardware impairments." IEEE Access 6 (2018): 40860-40882.

Mezghani, Amine, and Josef A. Nossek. "On ultra-wideband MIMO systems with 1-bit quantized outputs: Performance analysis and input optimization." 2007 IEEE International Symposium on Information Theory. IEEE, 2007.

Mo, Jianhua, and Robert W. Heath. "Capacity analysis of one-bit quantized MIMO systems with transmitter channel state information." IEEE transactions on signal processing 63.20 (2015): 5498-5512.

Rusu, Cristian, Nuria González-Prelcic, and Robert W. Heath. "Low resolution adaptive compressed sensing for mmWave MIMO receivers." 2015 49th Asilomar Conference on Signals, Systems and Computers. IEEE, 2015.

Choi, Junil, Jianhua Mo, and Robert W. Heath. "Near maximum-likelihood detector and channel estimator for uplink multiuser massive MIMO systems with one-bit ADCs." IEEE Transactions on Communications 64.5 (2016): 2005-2018.

Choi, Jinseok, Brian L. Evans, and Alan Gatherer. "ADC bit allocation under a power constraint for mmWave massive MIMO communication receivers." 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017.

Mo, Jianhua, et al. "Hybrid architectures with few-bit ADC receivers: Achievable rates and energy-rate tradeoffs." IEEE Transactions on Wireless Communications 16.4 (2017): 2274-2287.

Choi, Jinseok, Brian L. Evans, and Alan Gatherer. "Resolution-adaptive hybrid MIMO architectures for millimeter wave communications." IEEE Transactions on Signal Processing 65.23 (2017): 6201-6216.

Méndez-Rial, Roi, et al. "Hybrid MIMO architectures for millimeter wave communications: Phase shifters or switches?." IEEE Access 4 (2016): 247-267.

Gao, Xiang, et al. "Massive MIMO in real propagation environments: Do all antennas contribute equally?." IEEE Transactions on Communications 63.11 (2015): 3917-3928.

Gharavi-Alkhansari, Mohammad, and Alex B. Gershman. "Fast antenna subset selection in MIMO systems." IEEE transactions on signal processing 52.2 (2004): 339-347.

Gorokhov, Alexei, Dhananjay Gore, and Arogyaswami Paulraj. "Receive antenna selection for MIMO flat-fading channels: theory and algorithms." IEEE Transactions on Information Theory 49.10 (2003): 2687-2696.

Sadek, Mirette, Alireza Tarighat, and Ali H. Sayed. "Active antenna selection in multiuser MIMO communications." IEEE Transactions on Signal Processing 55.4 (2007): 1498-1510.

Yang, Nan, et al. "Safeguarding 5G wireless communication networks using physical layer security." IEEE Communications Magazine 53.4 (2015): 20-27.

Heath, Robert W., et al. "An overview of signal processing techniques for millimeter wave MIMO systems." IEEE journal of selected topics in signal processing 10.3 (2016): 436-453.

Wei, Lili, et al. "Key elements to enable millimeter wave communications for 5G wireless systems." IEEE Wireless Communications 21.6 (2014): 136-143.

Boccardi, Federico, et al. "Five disruptive technology directions for 5G." IEEE communications magazine 52.2 (2014): 74-80.

Alkhateeb, Ahmed, et al. "MIMO precoding and combining solutions for millimeter-wave systems." IEEE Communications Magazine 52.12 (2014): 122-131.

Erceg, Vinko, et al. "An empirically based path loss model for wireless channels in suburban environments." IEEE Journal on selected areas in communications 17.7 (1999): 1205-1211.

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Published

2024-04-19

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Section

Wireless and Mobile Communications