Energy Efficiency Optimization Algorithm for Cell-Free Massive MIMO-NOMA Systems

被引：0
|
作者：
Ding Q.-F. [1 ]
Li Y.-H. [1 ]
Xu M.-Y. [1 ]
机构：
[1] School of Electrical and Automation Engineering, East China Jiaotong University, Jiangxi, Nanchang
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2023年 / 51卷 / 08期
基金：
中国国家自然科学基金;
关键词：
NOMA (Non-Orthogonal Multiple Access); power allocation; SCA (Successive Con⁃ vex Approximation); user grouping;
D O I：
10.12263/DZXB.20211351
中图分类号：
学科分类号：
摘要：
Aiming at the problem of high energy consumption for non-orthogonal multiple access (NOMA) based cell-free massive multiple-input multiple-output (MIMO) system, a energy efficiency optimization algorithm considering both power consumption and users' quality of service is proposed. A total downlink energy efficiency maximization re⁃ source allocation model is formulated, the non-convex energy efficiency optimization problem is decomposed into two sub-problems of user grouping and power allocation, and the user grouping algorithm that maximizes the channel gain differ⁃ ence and minimizes the channel correlation is proposed by using the statistical theory. Based on the grouping result, the non-convex power allocation sub-problem is transformed into a convex one by using the successive convex approximation (SCA) method. Simulation results show that, NOMA system with the proposed algorithm can obtain higher energy efficien⁃ cy performance and user throughput performance compared with traditional orthogonal multiple access (OMA) system, and effectively improve user fairness. © 2023 Chinese Institute of Electronics. All rights reserved.
引用
收藏
页码：2020 / 2029
页数：9
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