论文标题
双散射MIMO频道的渐近互信息分析：高斯工具的一种新方法
Asymptotic Mutual Information Analysis for Double-scattering MIMO Channels: A New Approach by Gaussian Tools
论文作者
论文摘要
在双散射通道上进行多输入多输出（MIMO）系统的渐近互信息（MI）分析已取得了吸引力的结果，但是文献中尚未提供平均值，方差和MI分布的收敛速率。在本文中，通过利用大型随机矩阵理论（RMT），我们给出了MI的中心极限理论（CLT），并通过一种新方法（Gaussian工具）得出平均值和方差的闭合形式近似。均值，方差和特征函数的收敛速率首次被证明为O（1/N），其中n是发射天线的数量。此外，在中度到高的SNR制度中研究了有效散射器数量对平均值和方差的影响，并具有一些有趣的物理见解。所提出的评估框架可以用于双散射通道上其他系统的渐近性能分析。
The asymptotic mutual information (MI) analysis for multiple-input multiple-output (MIMO) systems over double-scattering channels has achieved engaging results, but the convergence rates of the mean, variance, and the distribution of the MI are not yet available in the literature. In this paper, by utilizing the large random matrix theory (RMT), we give a central limit theory (CLT) for the MI and derive the closed-form approximation for the mean and the variance by a new approach -- Gaussian tools. The convergence rates of the mean, variance, and the characteristic function are proved to be O(1/N) for the first time, where N is the number of transmit antennas. Furthermore, the impact of the number of effective scatterers on the mean and variance was investigated in the moderate-to-high SNR regime with some interesting physical insights. The proposed evaluation framework can be utilized for the asymptotic performance analysis of other systems over double-scattering channels.
