Secrecy Analysis of Distributed CDD-Based Cooperative Systems With Deliberate Interference

Secrecy Analysis of Distributed CDD-Based Cooperative Systems With Deliberate Interference
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DOI:
10.1109/twc.2018.2871200
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发表时间:
2018-09
影响因子:
10.4
通讯作者:
K. Kim;Hongwu Liu;M. Di Renzo;P. Orlik;H. V. Poor
K. Kim;Hongwu Liu;M. Di Renzo;P. Orlik;H. V. Poor
中科院分区:
计算机科学1区
文献类型:
--
作者:
K. Kim;Hongwu Liu;M. Di Renzo;P. Orlik;H. V. Poor

文献摘要

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研究了一种协作循环前缀单载波系统,提出了一种提高其物理层安全性的方案。特别地,采用分布式循环延迟分集(dCDD)方案并且引入故意干扰方法,其降低从一组远程无线电头端(RRH)到窃听者的信道上的信号与干扰加噪声比(SINR),同时最小化从RRH到预期用户的信道上的信噪比损失。这是通过选择一个RRH来获得的,该RRH充当干扰RRH并向窃听者发送干扰人工噪声序列。通过使用dCDD方案,为干扰RRH选择使窃听者处的接收SINR最小化的信道。这种选择提高了CP-SC系统的保密率。通过考虑保密中断概率和非零可达保密率的概率来评估系统性能,对于相同和非相同分布的频率选择性衰落信道的情况,这些概率以封闭形式的解析表达式来表示。基于所提出的分析框架,研究了系统的分集阶数。蒙特卡洛模拟验证了众多的系统方案的分析推导。
In this paper, a cooperative cyclic-prefixed single carrier (CP-SC) system is studied and a scheme to improve its physical layer security is proposed. In particular, a distributed cyclic delay diversity (dCDD) scheme is employed and a deliberate interfering method is introduced, which degrades the signal-to-interference-plus-noise ratio (SINR) over the channels from a group of remote radio heads (RRHs) to an eavesdropper, while minimizing the signal-to-noise ratio loss over the channels from the RRHs to an intended user. This is obtained by selecting one RRH that acts as an interfering RRH and transmits an interfering artificial noise sequence to the eavesdropper. Through the use of the dCDD scheme, a channel that minimizes the receive SINR at the eavesdropper is selected for the interfering RRH. This choice enhances the secrecy rate of the CP-SC system. The system performance is evaluated by considering the secrecy outage probability and the probability of non-zero achievable secrecy rate, which are formulated in closed-form analytical expressions for the case of identically and non-identically distributed frequency selective fading channels. Based on the proposed analytical framework, the diversity order of the system is studied. Monte Carlo simulations are employed to verify the analytical derivations for numerous system scenarios.