利用协同干扰保护认知无线电NOMA网络

Zheng Zhang, Jian Chen, Lu Lv, Qiang Ye
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引用次数: 2

摘要

本文提出了一种提高认知无线电非正交多址(CR-NOMA)网络物理层安全性的创新框架。具体来说,我们考虑了一种合作频谱共享机制,其中认知发射机作为中继器,并在无源窃听者存在的情况下使用NOMA原则协助主/认知传输。在技术上,我们提出了一种新的协同干扰方案,即利用主/认知接收机和主发射机作为干扰者发射人工噪声,以故意迷惑窃听者。在实际假设只有窃听者的统计信道状态信息可用的情况下,使用保密中断概率(SOP)作为性能度量。提出了在初级和认知接收者之间最小化机密信息率最大化的优化问题。为了有效地解决非凸优化问题,设计了一种基于连续凸逼近的功率分配算法。仿真结果表明,该方案在最小保密信息率方面优于正交多址方案。
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Utilizing Cooperative Jamming to Secure Cognitive Radio NOMA Networks
In this paper, we propose an innovative framework to improve the physical layer security of cognitive radio nonorthogonal multiple access (CR-NOMA) networks. Specifically, we consider a cooperative spectrum-sharing mechanism, where a cognitive transmitter serves as a relay and assists primary/cognitive transmissions using the NOMA principle in the presence of a passive eavesdropper. Technically, we propose a new cooperative jamming scheme, where the primary/cognitive receivers and the primary transmitter are recruited as jammers to transmit artificial noise in order to intentionally confuse eavesdropper. Under a practical assumption that only the statistical channel state information of eavesdropper is available, the secrecy outage probability (SOP) is used as the performance metric. An optimization problem of maximizing the minimum confidential information rate among the primary and cognitive receivers is formulated. We devise a successive convex approximation based power allocation algorithm to efficiently solve the non-convex optimization problem. Our simulation results indicate that the proposed scheme outperforms the orthogonal multiple access based schemes in terms of minimum confidential information rate.
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