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Comments on “Precoding and Artificial Noise Design for Cognitive MIMOME Wiretap Channels”

机译:评论“认知模仿丝网通道的预编码和人工噪声设计”

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摘要

Several gaps and errors in "Precoding and Artificial Noise Design for Cognitive MIMOME Wiretap Channels" by Fang et al. are identified and corrected. While accommodating these corrections, a rigours proof is given that the successive convex approximation algorithm of Fang et al. for secrecy rate maximization (SRM) does generate an increasing and bounded sequence of true secrecy rates and hence converges. It is further shown that its convergence point is a KKT point of the original SRM problem and, if the original problem is convex, this convergence point is globally-optimal, which is not necessarily the case in general. An interlacing property of the sequences of the true and approximate secrecy rates is established.
机译:方径的“认知模拟丝网通道预编码和人工噪声设计”的几个差距和错误。确定和纠正。在适应这些校正的同时,赋予Rengs等人的连续凸面近似算法。对于保密速率最大化(SRM)确实产生了越来越多的真实保密速率序列,因此收敛。进一步示出了其收敛点是原始SRM问题的KKT点,如果原始问题是凸,则该收敛点是全局最优的,这不一定是一般情况。建立了真实和近似保密率的序列的交错特性。

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