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

• Published in: IEEE wireless communications letters Vol. 12; no. 1; pp. 124 - 128
• Main Authors: Ren, Hong, Liu, Xueya, Pan, Cunhua, Peng, Zhangjie, Wang, Jiangzhou
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Azimuth; Communication system security; Communications systems; Genetic algorithms; intelligent reflecting surface (IRS); Massive MIMO; massive multiple-input multiple-output (MIMO); MIMO communication; Mobile communication; Physical layer security (PLS); reconfigurable intelligent surface (RIS); Security; Wireless communication
• ISSN: 2162-2337; 2162-2345
• DOI: 10.1109/LWC.2022.3218961

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.