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同信道干扰下相关多输入多输出信道容量分析
引用本文:闫秋娜, 岳殿武, 王谦. 同信道干扰下相关多输入多输出信道容量分析[J]. 电波科学学报, 2012, 27(3): 556-563,582.
作者姓名:闫秋娜  岳殿武  王谦
作者单位:1.大连海事大学信息科学技术学院, 辽宁 大连 116026;2. 东南大学移动通信国家重点实验室, 江苏 南京 210096
基金项目:东南大学移动通信国家重点实验室开放研究基金项目(2011D01);广东省自然科学基金博士启动项目(10451802904006030);辽宁省“百千万人才工程”人选项目(2010921062);国家自然科学基金项目(61171175,61001090)资助
摘    要:在Rayleigh衰落环境下,研究了具有同信道干扰的多输入多输出(MIMO)信道容量问题,分析了通信用户发送端带有空间相关性的情况。假设接收端完美地知道信道状态信息而发送端不知道,基于矩阵变量分布理论,推导出MIMO信道互信息之矩生成函数的精确闭式表达式。利用该表达式进一步推导出MIMO遍历信道容量的精确表达式。用数值结果验证了分析结果的正确性,并给出各种参数对遍历信道容量的影响。

关 键 词:多输入多输出  信道容量  同信道干扰  空间相关性  矩阵变量分布
收稿时间:2011-08-27

Analysis of correlated MIMO channel capacity under co-channel interference
YAN Qiu-na, YUE Dian-wu, WANG Qian. Analysis of correlated MIMO channel capacity under co-channel interference[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2012, 27(3): 556-563,582.
Authors:YAN Qiu-na  YUE Dian-wu  WANG Qian
Affiliation:1.College of Information Science and Technology, Dalian Maritime University, Dalian Liaoning 116026, China;2. National Mobile Communications Research Laboratory of Southeast University, Nanjing Jiangsu 210096, China
Abstract:In Rayleigh fading environments,this paper addresses the issue of multiple-input multiple-output(MIMO)channel capacity under co-channel interference,and focuses on the case with transmit spatial correlation for the desired user.It is assumed that perfect channel state information(CSI)is available to the receiver,but unavailable to the transmitter.Based on theory of matrix variate distributions,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 an exact expression of the MIMO ergodic capacity by using the MGF formula of mutual information.Finally,numerical results are present to illustrate the mathematical formalism and to show the effect of various parameters on the ergodic capacity.This paper emphasizes applications of matrix variate distribution theory to the study of MIMO channel capacity.
Keywords:multiple-input multiple-output  channel capacity  co-channel interference  spatial correlation  Matrix variate distribution
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