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Matrix Variate Distributions and MIMO Channel Capacity

机译:矩阵变量分布和MIMO信道容量

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摘要

MIMO wireless communication technique is one of the hottest research topics in wireless communication field at the moment. Its theoretical analysis depends on knowledge of multivariate statistics, especially the theory of matrix variate distributions. Based on the theory of matrix variate distribution over complex field, this paper investigates the capacity of MIMO Rayleigh fading channels in the presence of Rayleigh co-channel interference. It is assumed that perfect channel information is available to the receiver, but the transmitter has no channel information. Moreover, the transmit antenna array for the desired user can be allowed to be correlated. This paper first derives an exact closed-form expression of the moment generating function (MGF) of mutual information of MIMO channels with interference, and then obtains further an exact expression of the MIMO ergodic capacity with the MGF formula of mutual information. This paper emphasizes the application of matrix variate distributions’ theory to the study of MIMO channel capacity.
机译:MIMO无线通信技术是当前无线通信领域最热门的研究主题之一。其理论分析取决于多元统计知识,尤其是矩阵变量分布理论。基于复杂域矩阵变量分布的理论,研究了在存在瑞利同频干扰的情况下MIMO瑞利衰落信道的容量。假定完美的信道信息可用于接收器,但是发送器没有信道信息。此外,可以允许期望用户的发射天线阵列相关。本文首先推导了具有干扰的MIMO信道互信息的矩量生成函数(MGF)的精确闭式表达式,然后利用互信息的MGF公式进一步获得了MIMO遍历能力的精确表达式。本文着重介绍矩阵变量分布理论在MIMO信道容量研究中的应用。

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