Sum Rate Optimization for Two Way Communications With Intelligent Reflecting Surface

被引：94
|
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
收藏
页码：1090 / 1094
页数：5
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