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On the Precoder Design of Flat Fading MIMO Systems Equipped With MMSE Receivers: A Large-System Approach

机译:配备MMSE接收机的平衰落MIMO系统的预编码器设计:一种大系统方法

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This paper is devoted to the design of precoders maximizing the ergodic mutual information (EMI) of bi-correlated flat fading MIMO systems equipped with MMSE receivers. The channel state information and the second-order statistics of the channel are assumed available at the receiver side and at the transmitter side respectively. As the direct maximization of the EMI needs the use of nonattractive algorithms, it is proposed to optimize an approximation of the EMI, introduced recently, obtained when the number of transmit and receive antennas $t$ and $r$ converge to $infty $ at the same rate. It is established that the relative error between the actual EMI and its approximation is a $O( {{ 1}over { t^{2}}})$ term. It is shown that the left singular eigenvectors of the optimum precoder coincide with the eigenvectors of the transmit covariance matrix, and its singular values are solution of a certain maximization problem. Numerical experiments show that the mutual information provided by this precoder is close from what is obtained by maximizing the true EMI, but that the algorithm maximizing the approximation is much less computationally intensive.
机译:本文致力于预编码器的设计,该预编码器可最大化配备MMSE接收机的双相关平衰落MIMO系统的遍历互信息(EMI)。假定信道状态信息和信道的二阶统计分别在接收机侧和发射机侧可用。由于EMI的直接最大化需要使用非吸引力算法,因此建议对最近引入的EMI近似进行优化,该近似值是在发射和接收天线的数量 $ t $ $ r $ 收敛为 $ infty $ 的汇率相同。可以确定的是,实际EMI及其近似值之间的相对误差为<公式:type =“ inline”> $ O({{1} over {t ^ {2}}})$ 术语。结果表明,最优预编码器的左奇异特征向量与发射协方差矩阵的特征向量一致,其奇异值可以解决某个最大化问题。数值实验表明,此预编码器提供的互信息与通过使真实EMI最大化而获得的互信息接近,但是使近似值最大化的算法的计算强度却大大降低。

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