论文标题
基于SD的低复杂性预编码器设计高斯MIMO窃听通道
SD-Based Low-Complexity Precoder Design for Gaussian MIMO Wiretap Channels
论文作者
论文摘要
本文考虑了高斯多输入多输出（MIMO）多重访问窃听（MAC-WT）频道，其中Evesdropper（EVE）希望提取所有用户的机密信息。假设合法的接收器和EVE都共同解码了他们感兴趣的消息，我们旨在通过预编码器设计最大化系统的总和保密率。尽管可以通过首先使用基于迭代的主要化最小化（MM）算法来解决此问题，以获取一系列凸面对数确定的优化子问题，然后使用一些通用工具，例如内部点方法，处理每个子问题，但该策略涉及非常高的计算复杂性。因此，我们提出了一种基于对角度的低复杂性（SDLC）方法，以最大程度地提高简单的单用户窃听通道的保密率，然后使用此方法迭代优化每个用户的协方差矩阵。仿真结果表明，与现有方法相比，SDLC方案达到了类似的保密性能，但需要较低的复杂性。
This paper considers a Gaussian multi-input multi-output (MIMO) multiple access wiretap (MAC-WT) channel, where an eavesdropper (Eve) wants to extract the confidential information of all users. Assuming that both the legitimate receiver and Eve jointly decode their interested messages, we aim to maximize the sum secrecy rate of the system by precoder design. Although this problem could be solved by first using the iterative majorization minimization (MM) based algorithm to get a sequence of convex log-determinant optimization subproblems and then using some general tools, e.g., the interior point method, to deal with each subproblem, this strategy involves quite high computational complexity. Therefore, we propose a simultaneous diagonalization based low-complexity (SDLC) method to maximize the secrecy rate of a simple one-user wiretap channel, and then use this method to iteratively optimize the covariance matrix of each user. Simulation results show that in contrast to the existing approaches, the SDLC scheme achieves similar secrecy performance but requires much lower complexity.
