中继辅助MIMO D2D通信的物理层安全性

Keeth Jayasinghe, P. Jayasinghe, Nandana Rajatheva, M. Latva-aho
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引用次数: 17

摘要

本文提出了一种防止多输入多输出(MIMO)设备对设备(D2D)通信窃听的安全波束形成设计。设备通过执行物理层网络编码(PNC)的可信中继进行通信,并且多个窃听者试图拦截设备信息。波束形成设计基于最小化D2D通信的均方误差,同时采用信噪比(SINR)阈值约束来防止可能的窃听。设备到窃听器和中继到窃听器的信道状态信息在设备和中继处是不完善的。信道估计误差采用高斯马尔可夫不确定性模型。因此,考虑到D2D通信的多接入和广播阶段,制定了鲁棒优化问题。这些问题是非凸的,并提出了两种算法来解决它们。在数值分析中,我们讨论了所提出算法的收敛性、窃听器数量对性能的影响以及窃听器处的信噪比分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Physical layer security for relay assisted MIMO D2D communication
This paper presents a secure beamforming design to prevent eavesdropping on multiple-input multiple-output (MIMO) device-to-device (D2D) communication. The devices communicate via a trusted relay which performs physical layer network coding (PNC), and multiple eavesdroppers are trying to intercept the device information. The beamforming design is based on minimizing mean square error of the D2D communication while employing signal-to-interference-plus-noise ratio (SINR) threshold constraints to prevent possible eavesdropping. The channel state information of the device-to-eavesdropper and relay-to-eavesdropper channels is imperfect at the devices and relay. The channel estimation errors are assumed with Gaussian Markov uncertainty model. Consequently, robust optimization problems are formulated considering the multiple access and broadcasting stages of the D2D communication. These problems are non-convex, and two algorithms are proposed to solve them. In the numerical analysis, we discuss the convergence of the proposed algorithms, impact of the number of eavesdroppers on the performance, and the SINR distributions at eavesdroppers.
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