Exploiting RIS's Role for Energy Efficiency and Security in Cell-Free Massive MIMO Networks

被引：2

作者：

Li, Hui ^{[1
]}

Sun, Wei ^{[1
]}

Song, Qingyang ^{[1
]}

Guo, Lei ^{[1
]}

Jamalipour, Abbas ^{[2
]}

机构：

[1] Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing 400065, Peoples R China

[2] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia

来源：

IEEE COMMUNICATIONS LETTERS | 2024年 / 28卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Cell-free massive MIMO networks; reconfigurable intelligent surface; deep deterministic policy gradient;

D O I：

10.1109/LCOMM.2024.3369622

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Reconfigurable intelligent surface (RIS) has shown significant advantages in improving energy efficiency (EE) and ensuring secure communications in cell-free massive multiple-input multiple-output (CF mMIMO) networks. In this letter, in order to enable RIS to fully play its role and explore the inherent advantages of RIS, we design a joint phase adjustment and power control scheme to optimize the EE of network, while coping with pilot attacks. An Improved DDPG-PER algorithm, which integrates batch normalization (BN), prioritized experience replay (PER) and deep deterministic policy gradient (DDPG), is devised to efficiently address the optimization problem while enhancing learning capability. The simulation results show that our proposed scheme enhances both energy efficiency and security.

引用

页码：1087 / 1091

页数：5

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