Secrecy Energy Efficiency Maximization for Multi-User Multi-Eavesdropper Cell-Free Massive MIMO Networks

被引:10
|
作者
Jiang, Yuhan [1 ]
Zou, Yulong [1 ]
机构
[1] Nanjing Univ Posts & Telecommun, Sch Telecommun & Informat Engn, Nanjing 210003, Peoples R China
基金
中国国家自然科学基金;
关键词
Resource management; Wireless communication; Optimization; Quality of service; Array signal processing; Antenna arrays; Rayleigh channels; Cell-free massive MIMO networks; energy efficiency; physical-layer security; resource allocation; PHYSICAL LAYER SECURITY; SYSTEMS; POWER; RELAY;
D O I
10.1109/TVT.2022.3229742
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, the secrecy energy efficiency (SEE) optimization problem is studied in multi-user multi-eavesdropper cell-free massive multiple-input multiple-output (CF-mMIMO) networks, where a large number of distributed access points (APs) equipped with multiple antennas connect to a central processing unit via backhaul links to communicate with multiple users in the presence of multiple active non-colluding eavesdroppers. In order to theoretically analyze the SEE performance of CF-mMIMO systems, we first provide a lower bound on the ergodic secrecy rate. Meanwhile, a realistic model is used to measure the power consumption of CF-mMIMO networks, which takes into account the radio transmit power of all APs, circuit power consumption, and the power consumed by the backhaul link transmissions. Then, we develop a confidential and energy-efficient design for transmit power allocation subject to individual quality-of-service requirements for the users and total transmit power constraint of all APs. For the reason that the proposed SEE maximization (SEEM) problem is non-convex, we give a two-tier iterative power allocation algorithm, capitalizing on Dinkelbach's method and successive convex approximation approach. Simulation results show that the proposed SEEM algorithm converges fast and outperforms the conventional secrecy rate maximization and energy efficiency maximization strategies in terms of SEE performance.
引用
收藏
页码:6009 / 6022
页数:14
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