Security-Reliability Analysis and Optimization for Cognitive Two-Way Relay Network with Energy Harvesting  

作　　者：Luo Yi Zhou Lihua Dong Jian Sun Yang Xu Jiahui Xi Kaixin 

机构地区：[1]Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing,Hunan Normal University,Changsha 410081,China [2]School of Electronic Information,Central South University,Changsha 410075,China

出　　处：《China Communications》2024年第11期163-179,共17页中国通信（英文版）

基　　金：supported in part by the National Natural Science Foundation of China under Grant 61971450;in part by the Hunan Provincial Science and Technology Project Foundation under Grant 2018TP1018;in part by the Natural Science Foundation of Hunan Province under Grant 2018JJ2533;in part by Hunan Province College Students Research Learning and Innovative Experiment Project under Grant S202110542056。

摘　　要：This paper investigates the security and reliability of information transmission within an underlay wiretap energy harvesting cognitive two-way relay network.In the network,energy-constrained secondary network(SN)nodes harvest energy from radio frequency signals of a multi-antenna power beacon.Two SN sources exchange their messages via a SN decode-and-forward relay in the presence of a multiantenna eavesdropper by using a four-phase time division broadcast protocol,and the hardware impairments of SN nodes and eavesdropper are modeled.To alleviate eavesdropping attacks,the artificial noise is applied by SN nodes.The physical layer security performance of SN is analyzed and evaluated by the exact closed-form expressions of outage probability(OP),intercept probability(IP),and OP+IP over quasistatic Rayleigh fading channel.Additionally,due to the complexity of OP+IP expression,a self-adaptive chaotic quantum particle swarm optimization-based resource allocation algorithm is proposed to jointly optimize energy harvesting ratio and power allocation factor,which can achieve security-reliability tradeoff for SN.Extensive simulations demonstrate the correctness of theoretical analysis and the effectiveness of the proposed optimization algorithm.

关 键 词：artificial noise energy harvesting cognitive two-way relay network hardware impairments physical layer security security-reliability tradeoff self-adaptive quantum particle swarm optimization 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TN918[自动化与计算机技术—控制科学与工程]