Uplink Power Control in Cellular Massive MIMO Systems: Coping With the Congestion Issue

TL;DR

This paper addresses uplink power control in cellular Massive MIMO systems to effectively manage congestion, ensuring users meet spectral efficiency demands through novel optimization algorithms.

Contribution

It introduces new algorithms based on alternating optimization to allocate pilot and data powers, improving energy efficiency and congestion handling in Massive MIMO systems.

Findings

Algorithms successfully meet spectral efficiency demands during congestion

Proposed methods improve energy efficiency in uplink power control

Numerical results confirm robustness of the approach

Abstract

One main goal of 5G-and-beyond systems is to simultaneously serve many users, each having a requested spectral efficiency (SE), in an energy-efficient way. The network capacity cannot always satisfy all the SE requirements, for example, when some users have bad channel conditions, especially happening in a cellular topology, and therefore congestion can happen. By considering both the pilot and data powers in the uplink transmission as optimization variables, this paper formulates and solves an energy-efficiency problem for cellular Massive MIMO (Multiple Input Multiple Output) systems that can handle the congestion issue. New algorithms based on the alternating optimization approach are proposed to obtain a fixed-point solution. Numerical results manifest that the proposed algorithms can provide the demanded SEs to many users even when the congestion happens.