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arXiv 2102.10396cs.ITeess.SPmath.IT
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高斯MIMO窃听信道保密容量的有效数值计算方法

Efficient Numerical Methods for Secrecy Capacity of Gaussian MIMO Wiretap Channel

Anshu Mukherjee, Björn Ottersten, Le Nam Tran

摘要:

本文提出了两种不同的低复杂度的方法来获得多输入多输出(MIMO)窃听信道的保密容量的总和功率约束(SPC)。在推导计算上有效的解决方案的保密容量问题的挑战是由于这样的事实,即保密率是一个差异的凸函数(DC)的传输协方差矩阵,其凸性是唯一已知的\emph{the degraded case}。在第一种方法中,我们利用加速DC算法,这需要解决一系列的凸子问题。特别是,我们表明,每个子问题确实承认注水的解决方案。在第二种方法中,基于等价的凸-凹变换的保密容量问题,我们开发了一个所谓的部分最佳响应算法(PBRA)。PBRA的每次迭代也以封闭形式完成。仿真结果证明了所提出的方法的优越性能。

英文摘要:

This paper presents two different low-complexity methods for obtaining the secrecy capacity of multiple-input multiple-output (MIMO) wiretap channel subject to a sum power constraint (SPC). The challenges in deriving computationally efficient solutions to the secrecy capacity problem are due to the fact that the secrecy rate is a difference of convex functions (DC) of the transmit covariance matrix, for which its convexity is only known for \emph{the degraded case}. In the first method, we capitalize on the accelerated DC algorithm, which requires solving a sequence of convex subproblems. In particular, we show that each subproblem indeed admits a water-filling solution. In the second method, based on the equivalent convex-concave reformulation of the secrecy capacity problem, we develop a so-called partial best response algorithm (PBRA). Each iteration of the PBRA is also done in closed form. Simulation results are provided to demonstrate the superior performance of the proposed methods.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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