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

Van Chien Trinh, Emil Björnson, Hien-Quoc Ngo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationIEEE International Conference on Communications
Publisher IEEE
Publication statusAccepted - Feb 2020

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    Trinh, V. C., Björnson, E., & Ngo, H-Q. (Accepted/In press). Uplink Power Control in Cellular Massive MIMO Systems: Coping with the Congestion Issue. In IEEE International Conference on Communications IEEE .