Sum Rate Optimization for Two Way Communications With Intelligent Reflecting Surface

被引：100

作者：

Zhang, Yu ^{[1
,2
]}

Zhong, Caijun ^{[3
]}

Zhang, Zhaoyang ^{[3
]}

Lu, Weidang ^{[1
]}

机构：

[1] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Peoples R China

[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China

[3] Zhejiang Univ, Dept Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China

来源：

IEEE COMMUNICATIONS LETTERS | 2020年 / 24卷 / 05期

基金：

国家重点研发计划; 中国国家自然科学基金;

关键词：

Silicon; MIMO communication; Optimization; Covariance matrices; Probability distribution; Indexes; Wireless communication; IRS; two-way communications; MIMO; full-duplex;

D O I：

10.1109/LCOMM.2020.2978394

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

In this letter, an intelligent reflecting surface (IRS) enhanced full-duplex MIMO two-way communication system is studied. The system sum rate is maximized through jointly optimizing the source precoders and the IRS phase shift matrix. Adopting the idea of Arimoto-Blahut algorithm, the non-convex optimization problem is decoupled into three sub-problems, which are solved alternatingly. All the sub-problems can be solved efficiently with closed-form solutions. In addition, practical IRS assumptions, e.g., discrete phase shift levels, are also considered. Numerical results verify the convergence and performance of the proposed scheme.

引用

页码：1090 / 1094

页数：5

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