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

Van Chien Trinh; Emil Björnson; Hien-Quoc Ngo

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 proceeding › Conference 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 language	English
Title of host publication	IEEE International Conference on Communications
Publisher	IEEE
Publication status	Accepted - Feb 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@inproceedings{48aeea8db97c444fbec2923441d22a85,

title = "Uplink Power Control in Cellular Massive MIMO Systems: Coping with the Congestion Issue",

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.",

author = "Trinh, {Van Chien} and Emil Bj{\"o}rnson and Hien-Quoc Ngo",

year = "2020",

month = feb,

language = "English",

booktitle = "IEEE International Conference on Communications",

publisher = " IEEE ",

}

TY - GEN

T1 - Uplink Power Control in Cellular Massive MIMO Systems: Coping with the Congestion Issue

AU - Trinh, Van Chien

AU - Björnson, Emil

AU - Ngo, Hien-Quoc

PY - 2020/2

Y1 - 2020/2

N2 - 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.

AB - 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.

M3 - Conference contribution

BT - IEEE International Conference on Communications

PB - IEEE

ER -

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

Abstract

UN SDGs

Fingerprint

Cite this