Asymptotic Mutual Information Statistics of MIMO Channels and CLT of Sample Covariance Matrices

被引：6

作者：

Bao, Zhigang ^{[1
]}

Pan, Guangming ^{[2
]}

Zhou, Wang ^{[3
]}

机构：

[1] IST Austria, A-3400 Klosterneuburg, Austria

[2] Nanyang Technol Univ, Div Math Sci, Singapore 639798, Singapore

[3] Natl Univ Singapore, Dept Stat & Appl Probabil, Singapore 119077, Singapore

来源：

IEEE TRANSACTIONS ON INFORMATION THEORY | 2015年 / 61卷 / 06期

关键词：

Mutual information; multiple input multiple output; random matrix theory; central limit theorem; CAPACITY; CIRCULARITY; RECEIVERS;

D O I：

10.1109/TIT.2015.2421894

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we consider the fluctuation of mutual information statistics of a multiple input multiple output channel communication systems without assuming that the entries of the channel matrix have zero pseudovariance. To this end, we also establish a central limit theorem of the linear spectral statistics for sample covariance matrices under general moment conditions by removing the restrictions imposed on the second moment and fourth moment on the matrix entries in Bai and Silverstein (2004).

引用

页码：3413 / 3426

页数：14

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