安全的认知无线电系统与合作的次级网络

Wenli Liu, Li Guo, Tianyu Kang, Jianwei Zhang, Jiaru Lin
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引用次数: 12

摘要

在认知无线电(CR)系统中,在被动窃听者存在的情况下,我们经常使用干扰方案来提高物理层的安全性。然而,它还需要额外的信号源来传输人工噪声。在本文中,我们研究了多输入单输出(MISO)认知无线电系统,其中两个辅助链路相互保护通信。每个辅助发射机(ST)向自己的接收机发送预定的信息,同时对其他CRN充当友好干扰器。我们的目标是最大化最差用户的保密率,同时限制主接收方向的干扰。我们通过单个功率约束下的凸半定规划序列来解决这个问题。本文还介绍了两种次优零强迫波束形成方法,其中一种是基于SDP解决问题,另一种是采用pareto最优参数化方法,计算效率更高。
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Secure cognitive radio system with cooperative secondary networks
In cognitive radio (CR) systems, we often use jamming schemes to improve the physical-layer security in the presence of passive eavesdroppers. However, it also needs additional signal sources to transmit artificial noise. In this paper, we investigate the multiple-input single-output (MISO) cognitive radio system where two secondary links secure each other's communication. Each secondary transmitter (ST) sends intended messages to its own receiver while acts as a friendly jammer to the other CRN. Our target is to maximize the worst-user's secrecy rate while limiting the interference in the direction of the primary receiver. We solve the problem through a sequence of convex semidefinite programs (SDPs) under individual power constraints. We also introduce two sub-optimal zero-forcing (ZF) beamforming methods, one of which solves the problem based on SDP and the other adopts the approach of Pareto-optimal parameterization in a more computationally efficient way.
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