Quantized Massive MIMO Systems with Multicell Coordinated Beamforming and Power Control

TL;DR

This paper addresses the challenge of coordinated beamforming and power control in massive MIMO systems with low-resolution ADCs/DACs, proposing a duality-based framework and algorithms for uplink and downlink optimization.

Contribution

It introduces a duality-based approach for power and beamforming optimization in quantized massive MIMO systems, including deterministic solutions and extensions to wideband OFDM.

Findings

Validated the duality framework through simulations.

Proposed algorithms achieve near-optimal power and beamforming solutions.

Extended results to wideband OFDM systems.

Abstract

In this paper, we investigate a coordinated multipoint (CoMP) beamforming and power control problem for base stations (BSs) with a massive number of antenna arrays under coarse quantization at low-resolution analog-to-digital converters (ADCs) and digital-to-analog converter (DACs). Unlike high-resolution ADC and DAC systems, non-negligible quantization noise that needs to be considered in CoMP design makes the problem more challenging. We first formulate total power minimization problems of both uplink (UL) and downlink (DL) systems subject to signal-to-interference-and-noise ratio (SINR) constraints. We then derive strong duality for the UL and DL problems under coarse quantization systems. Leveraging the duality, we propose a framework that is directed toward a twofold aim: to discover the optimal transmit powers in UL by developing iterative algorithm in a distributed manner and to obtain the optimal precoder in DL as a scaled instance of UL combiner. Under homogeneous transmit power and SINR constraints per cell, we further derive a deterministic solution for the UL CoMP problem by analyzing the lower bound of the SINR. Lastly, we extend the derived result to wideband orthogonal frequency-division multiplexing systems to optimize transmit power and beamformer for all subcarriers. Simulation results validate the theoretical results and proposed algorithms.