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A Scheme for Trustworthy Friendly Jammer Selection in Cooperative Cognitive Radio Networks

机译:合作认知无线电网络中可信赖的友好干扰选择方案

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摘要

In this paper, we consider a centralized cooperative cognitive radio network (CCRN), where a primary base station sends a message to a primary user. Meanwhile, a secondary user transmitter (SU-Tx) acts as a friendly jammer that sends jamming signals (artificial noise) to protect the transmitted message from a potential eavesdropper (Eve). However, the SU-Tx may not be completely honest in sending jamming signals for selfish reasons, i.e., it may be untrusted. To select a trustworthy SU-Tx as a friendly jammer, we adopt the concept of trust degree as a selection criterion. We investigate the trust degree's influence on the secrecy performance of a CCRN in cases of perfect channel state information (CSI) and statistical CSI, respectively. In the case of perfect CSI, the accurate expected secrecy rate is derived to evaluate the secrecy performance. In the case of statistical CSI, we calculate the probabilities of the transmission and secrecy outage events, and the secrecy performance is evaluated in terms of effective secrecy throughput. In both cases, we obtain the target trust degree thresholds based on the target secrecy performance thresholds, respectively. Next, we investigate how to calculate the trust degree of each SU-Tx and establish a trust degree list of all SU-Txs. Finally, according to the trust degree list and the target trust degree thresholds, we can select a trustworthy SU-Tx as a friendly jammer in both two cases. A comprehensive simulation study is carried out to validate our secrecy performance analyses and the trust degree management.
机译:在本文中,我们考虑一个集中式协作认知无线电网络(CCRN),其中主基站向主用户发送消息。同时,辅助用户发送器(SU-Tx)充当友好干扰器,发送干扰信号(人为噪声),以保护发送的消息免受潜在的窃听者(Eve)的侵害。但是,出于自私的原因,SU-Tx在发送干扰信号时可能并不完全诚实,即可能不受信任。为了选择值得信赖的SU-Tx作为友好干扰机,我们采用信任度的概念作为选择标准。我们分别研究了在完全信道状态信息(CSI)和统计CSI情况下,信任度对CCRN保密性能的影响。在使用完美CSI的情况下,可以得出准确的预期保密率来评估保密性能。在统计CSI的情况下,我们计算传输和保密中断事件的概率,并根据有效保密吞吐量来评估保密性能。在这两种情况下,我们分别基于目标保密性能阈值获得目标信任度阈值。接下来,我们研究如何计算每个SU-Tx的信任度,并建立所有SU-Tx的信任度列表。最后,根据信任度列表和目标信任度阈值,在两种情况下,我们都可以选择可信任的SU-Tx作为友好干扰器。进行了全面的模拟研究,以验证我们的保密性能分析和信任度管理。

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