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Joint beamforming and power allocation for secure communication in cognitive radio networks

机译:联合波束成形和功率分配,用于认知无线电网络中的安全通信

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摘要

In this study, secure communication in cognitive radio networks is investigated. A cooperative jammer is utilised to transmit artificial noise for interfering with the eavesdropper. The authors’ objective is to maximise the available secrecy rate of the secondary user (SU) under the interference power constraint at the primary user and the global transmit power constraint at the transmitters. In that case, beamforming vectors of the SU transmitter and the cooperative jammer, and power allocation between them need to be optimised. However, the optimisation problem is non-convex and hard to solve. In order to tackle it, two suboptimal algorithms are proposed: complete orthogonal projection and partial orthogonal projection. In these algorithms, the original optimisation problems are first decoupled into two sub-problems, which deal with the transmit beamforming vectors and power allocation, respectively. Then, the optimal solution is obtained by iteration alternately. Finally, simulation results verify the effectiveness of the proposed algorithms.
机译:在这项研究中,对认知无线电网络中的安全通信进行了研究。利用协作干扰器来传输人为噪声,以干扰窃听者。作者的目标是在主要用户的干扰功率约束和发射机的全局发射功率约束下,最大化次要用户(SU)的可用保密率。在那种情况下,需要优化SU发射机和协作干扰器的波束成形矢量,以及它们之间的功率分配。然而,优化问题是非凸的并且难以解决。为了解决这个问题,提出了两种次优算法:完全正交投影和部分正交投影。在这些算法中,最初的优化问题首先被解耦为两个子问题,分别处理发射波束成形矢量和功率分配。然后,通过交替迭代获得最优解。最后,仿真结果验证了所提算法的有效性。

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