Large MIMO system channel capacity using replica analysis and Grassmann variables: a closed form solution

E. Khan, C. Heneghan
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Abstract

Multiinput multioutput (MIMO) system are today regarded as one of the most promising research areas in wireless communications. This is due to the fact that MIMO channel can offer a significant capacity gain over traditional single-input single-output (SISO) channel. When transmitting over MIMO channels, there are additional degrees of freedom with respect to SISO channels. This paper presents the capacity of an uncorrelated MIMO channel in high SNR regime. The expression for the large system MIMO capacity is calculated in closed form using replica analysis and Grassmann variables. It is assumed that the receiver has perfect knowledge of the channel but no such information is available at the transmitter.
使用复制分析和格拉斯曼变量的大型MIMO系统信道容量:封闭形式的解决方案
多输入多输出(MIMO)系统是当今无线通信领域最具发展前景的研究领域之一。这是因为MIMO通道可以提供比传统的单输入单输出(SISO)通道更大的容量增益。当在MIMO信道上传输时,相对于SISO信道有额外的自由度。本文研究了高信噪比条件下非相关MIMO信道的容量。利用复制分析和格拉斯曼变量,以封闭形式计算了大系统MIMO容量的表达式。假定接收端对信道有完全的了解,但发送端却没有这样的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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