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On the Capacity of Block Multiantenna Channels

机译:关于多天线阻塞信道的容量

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In this paper, we consider point-to-point multiantenna channels with certain block distributional symmetries that do not require the entries of the channel matrix to be either Gaussian, or independent, or identically distributed. A main contribution is a capacity theorem for these channels, which might be regarded as a generalization of Telatar’s theorem (1999), which reduces the numerical optimization domain in the capacity computation. With this information theoretic result and some free probability arguments, we prove an asymptotic capacity theorem that, in addition to reducing the optimization domain, does not depend on the dimension of the channel matrix. This theorem allows us to apply free probability techniques to numerically compute the asymptotic capacity of the channels under consideration. These theorems provide a very efficient method for numerically approximating both the capacity and a capacity achieving input covariance matrix of certain channels.
机译:在本文中,我们考虑具有某些块分布对称性的点对点多天线信道,这些对称性不需要信道矩阵的项为高斯,独立或同等分布。这些通道的容量定理是主要的贡献,这可以看作是Telatar定理(1999)的推广,它减少了容量计算中的数值优化范围。利用该信息理论结果和一些自由概率论证,我们证明了一种渐近容量定理,该定理除了减少优化域外,还不依赖于信道矩阵的维数。该定理允许我们应用自由概率技术来数值计算所考虑通道的渐近容量。这些定理为数值逼近某些通道的容量和实现某些通道的输入协方差矩阵的容量提供了一种非常有效的方法。

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