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α-Fairness-based joint power allocation and power splitting for massive MIMO systems with SWIPT.

Authors :
Li, Hao
Yang, Shuo
Wen, Zhicheng
Cao, Jiawei
Luo, Guangkun
Wang, Zhigang
Wang, Houjun
Source :
Digital Signal Processing. Jan2022, Vol. 120, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

Fairness with a α parameter is an important consideration to provide uniform and high quality service for each user when designing a wireless communication system. In general, α -fairness problem includes the proportional fairness and the max-min fairness. In this paper, we consider the problem of α -fairness-based joint power allocation and power splitting for massive multiple-input and multiple-output (MIMO) systems with simultaneous wireless information and power transfer (SWIPT). Different from the existing works, we utilize a low-complexity parametric optimization method to solve the non-convex proportional fairness problem. Furthermore, we develop a joint iterative algorithm to solve the general α -fairness problem and obtain the suboptimal solutions on power allocation and power splitting. Simulation results illustrate the performance of the proposed algorithm. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10512004
Volume :
120
Database :
Academic Search Index
Journal :
Digital Signal Processing
Publication Type :
Periodical
Accession number :
153903179
Full Text :
https://doi.org/10.1016/j.dsp.2021.103219