Statistical Analysis of a Class of Secure Relay Assisted Cognitive Radio Networks
Statistical Analysis of a Class of Secure Relay Assisted Cognitive Radio Networks作者机构:Electronic and Electrical Comm.Dep.Faculty of Electronic EngineeringMeno.a UniversityEgypt Telecom EgyptEgypt Electrical Engineering DepartmentCollege of EngineeringShaqra UniversityDawadmiAr RiyadhKingdom of Saudi Arabia
出 版 物:《China Communications》 (中国通信(英文版))
年 卷 期:2018年第15卷第12期
页 面:174-189页
核心收录:
学科分类:0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学]
主 题:relay selection non-colluding or colluding eavesdroppers outage probability secrecy rate power constraints.
摘 要:In this paper, the problem of communication security in an underlay wiretap cognitive radio network is addressed and statistically investigated. We rely on a simple dual-hop communication model of decode and forward relay assisted network. Regarding the interference from primary users, interference power and maximum transmit power constraints; this network is subjected to multiple eavesdropping attacks which employ a specific interception strategy. To confound this eavesdropping, proposed selection schemes are exploited that aim at maximizing the minimum of the dual secrecy rates in order to strengthen the physical layer security. Moreover, exact and asymptotic closed form expressions are derived for specific performance metrics over independent and identically distributed Rayleigh fading channels. At high signal to interference noise ratio(SINR), tangential system bounds are also derived and discussed. Monte Carlo simulation results emphasize our assumption. It is found out that at the full diversity of the system, any additional node that enters the cooperative eavesdropping system becomes significantly of no effect.