Energy-Efficient Secure Communication for IOS Aided CFMMIMO Network

被引:0
作者
Li, Bin [1 ]
Hu, Yulin [1 ]
Dong, Zhicheng [2 ]
Panayirci, Erdal [3 ]
Jiang, Huilin [4 ]
Wu, Qiang [5 ]
机构
[1] Wuhan Univ, Sch Elect Informat, Wuhan, Peoples R China
[2] Tibet Univ, Sch Elect Engn, Lhasa, Peoples R China
[3] Kadir Has Univ, Dept Elect & Elect Engn, Istanbul, Turkiye
[4] Southeast Univ, SKL Mobile Commun, Nanjing, Peoples R China
[5] Nantong Univ, Sch Transportat, Nantong, Peoples R China
来源
2024 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC | 2024年
基金
国家重点研发计划;
关键词
6G; IOS; CFMMIMO; SSNM; RPM-CG;
D O I
10.1109/ICCC62479.2024.10681874
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this article, we investigate the security energy efficiency (SEE) of intelligent omni-surface (IOS) aided cell-free massive MIMO (CFMMIMO) networks. Firstly, we provide a SEE maximization design for the IOS-assisted CFMMIMO network. To address the formulated non-convex, multivariate problem, in particular, we first decouple the problem into two sub-problems, and design corresponding low-complexity algorithms for each sub-problem, including the joint optimization algorithm of the access point (AP) transmission beamforming and artificial noise covariance matrix based on semi-smooth Newton method (SSNM) as well as the joint optimization algorithm of IOS reflection-transmission phase shift matrix based on Riemannian product manifolds-conjugate gradient method (RPM-CG). The two subproblems are then iterated iteratively using the Block Coordinate Descent (BCD) algorithm to obtain the maximum SEE of the IOS-assisted CFMMIMO network. Simulation results show that the proposed algorithm outperforms the five baseline schemes in terms of SEE.
引用
收藏
页数:6
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