IEEE International Conference on Communications, Jun. 14-18, 2021, Montreal, Quebec, Canada.

Coordinated Multicell Beamforming and Power Allocation for Massive MIMO with Low-Resolution ADCs/DACs

Yunseong Cho (1), Jinseok Choi (2) and Brian L. Evans (1)

(1) Department of Electrical and Computer Engineering, Wireless Networking and Communications Group, The University of Texas at Austin, Austin, Texas USA
yscho@utexas.edu - bevans@ece.utexas.edu

(2) Department of Electrical Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919 Republic of Korea
jinseokchoi@unist.ac.kr

Paper Draft (arXiv) - Software Release - Slides - Video Presentation

Journal Version

Multiantenna Communications Project

Abstract

In this work, we present a solution for coordinated beamforming and power allocation when base stations employ a massive number of antennas equipped with low-resolution analog-to-digital and digital-to-analog converters. We address total power minimization problems of the coarsely quantized uplink (UL) and downlink (DL) communication systems with target signal-to-interference-and-noise ratio (SINR) constraints. By combining the UL problem with minimum mean square error combiners and deriving the Lagrangian dual of the DL problem, we prove UL-DL duality and show there is no duality gap even with coarse quantizers. Inspired by strong duality, we devise an iterative algorithm to determine the optimal UL transmit powers, and then linearly amplify the UL combiners with proper weights to acquire the optimal DL precoder. Simulation results evaluate the proposed method in terms of total power consumption and achieved SINR.

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Last Updated 04/20/21.