Weighted Sum-Rate Maximization for STAR-RISs-Aided Networks With Coupled Phase-Shifters

被引：30

作者：

Niu, Hehao ^{[1
]}

Liang, Xiaohu ^{[2
,3
]}

机构：

[1] Natl Univ Def Technol, Coll Elect Countermeasure, Hefei 230037, Peoples R China

[2] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210000, Peoples R China

[3] Army Engn Univ, Sch Commun & Engn, Nanjing 210000, Peoples R China

来源：

IEEE SYSTEMS JOURNAL | 2023年 / 17卷 / 01期

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

Optimization; Search methods; MIMO communication; Simulation; Phase shifters; MISO communication; Computational modeling; Coupled phase-shift model; elementwise optimization; reconfigurable intelligent surface (RIS); simultaneously transmitting and reflecting (STAR); RECONFIGURABLE INTELLIGENT SURFACES;

D O I：

10.1109/JSYST.2022.3159551

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this letter, we investigate the optimization in a simultaneously transmitting and reflecting reconfigurable intelligent surface-enabled network with a coupled coefficient model, where the transmit beamforming (BF) and the transmitting and reflecting coefficients (TRCs) are jointly designed. Our goal is to maximize the weighted sum rate for multiple users, subject to the discrete coefficient constraint. To solve the nonconcave objective, we develop an alternating optimization method, where the BF can be obtained in a closed form by the bisection method, and the TRCs are solved by the elementwise optimization approach. Simulation results demonstrate the superiority of the proposed algorithm.

引用

页码：1083 / 1086

页数：4

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