Performance Analysis for RIS-Aided Secure Massive MIMO Systems With Statistical CSI

被引：32

作者：

Ren, Hong ^{[1
]}

Liu, Xueya ^{[2
]}

Pan, Cunhua ^{[1
]}

Peng, Zhangjie ^{[1
,3
,4
]}

Wang, Jiangzhou ^{[5
]}

机构：

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

[2] Shanghai Normal Univ, Coll Informat Mech & Elect Engn, Shanghai 200234, Peoples R China

[3] Shanghai Normal Univ, Coll Informat Mech & Elect Engn, Shanghai 200234, Peoples R China

[4] Shanghai Normal Univ, Shanghai Engn Res Ctr Intelligent Educ & Bigdata, Shanghai 200234, Peoples R China

[5] Univ Kent, Sch Engn, Canterbury CT2 7NT, England

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2023年 / 12卷 / 01期

基金：

中国国家自然科学基金; 上海市自然科学基金;

关键词：

Security; Massive MIMO; Wireless communication; Genetic algorithms; Mobile communication; Communication system security; Azimuth; Physical layer security (PLS); massive multiple-input multiple-output (MIMO); reconfigurable intelligent surface (RIS); intelligent reflecting surface (IRS); INTELLIGENT REFLECTING SURFACE; WIRELESS COMMUNICATION; OPTIMIZATION;

D O I：

10.1109/LWC.2022.3218961

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This letter studies a reconfigurable intelligent surface (RIS)-aided secure massive multiple-input multiple-output (MIMO) communication system. We derive the approximate expression of the sum achievable security data rate (ASDR) with statistical channel state information (CSI). To further improve the system performance, a genetic algorithm (GA) is proposed to optimize the RIS's phase shifts, where both the continuous and discrete phase shifts are considered. Finally, simulation results confirm the correctness of our derived expressions, and demonstrate the effectiveness of using RIS in improving the security performance.

引用

页码：124 / 128

页数：5

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