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arXiv 1003.2372cs.ITmath.IT
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高斯MISO窃听信道的遍历秘密容量

On Ergodic Secrecy Capacity for Gaussian MISO Wiretap Channels

Jiangyuan Li, Athina P. Petropulu

摘要:

考虑了高斯多输入单输出(MISO)窃听信道模型,其中存在一个配备多天线的发射机、一个合法接收机和一个配备单天线的窃听器.我们研究的问题,找到最佳的输入协方差,实现遍历保密能力的功率约束,只有统计信息的窃听信道是在发射机。这是一个非凸优化问题,通常很难解决。现有的结果解决了窃听者或/和合法信道具有独立且相同分布的具有零均值和单位方差的高斯条目的情况,即,信道具有平凡的协方差。本文讨论了一般情况下,窃听者和合法的渠道有非平凡的协方差。一组方程描述的最佳输入协方差矩阵提出了一个算法来获得的解决方案。基于这个框架,我们表明,当合法信道上的全部信息可用于发射机,最佳的输入协方差总是排名一。我们还表明,当只有合法信道的统计信息是可用的发射机,合法信道有一些一般的非平凡的协方差,窃听信道有平凡的协方差,最佳的输入协方差具有相同的特征向量的合法信道的协方差。数值结果来说明该算法。

英文摘要:

A Gaussian multiple-input single-output (MISO) wiretap channel model is considered, where there exists a transmitter equipped with multiple antennas, a legitimate receiver and an eavesdropper each equipped with a single antenna. We study the problem of finding the optimal input covariance that achieves ergodic secrecy capacity subject to a power constraint where only statistical information about the eavesdropper channel is available at the transmitter. This is a non-convex optimization problem that is in general difficult to solve. Existing results address the case in which the eavesdropper or/and legitimate channels have independent and identically distributed Gaussian entries with zero-mean and unit-variance, i.e., the channels have trivial covariances. This paper addresses the general case where eavesdropper and legitimate channels have nontrivial covariances. A set of equations describing the optimal input covariance matrix are proposed along with an algorithm to obtain the solution. Based on this framework, we show that when full information on the legitimate channel is available to the transmitter, the optimal input covariance has always rank one. We also show that when only statistical information on the legitimate channel is available to the transmitter, the legitimate channel has some general non-trivial covariance, and the eavesdropper channel has trivial covariance, the optimal input covariance has the same eigenvectors as the legitimate channel covariance. Numerical results are presented to illustrate the algorithm.

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