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Analysis and Approximation of Statistical Distribution of Eigenvalues in i.i.d. MIMO Channels under Rayleigh Fading

机译:瑞利衰落下i.i.d.MIMO信道特征值统计分布的分析与近似

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摘要

In multiple input multiple output (MIMO) communication systems, eigenvalues of channel correlation matrices play an essential role for the performance analysis, and particularly the investigation about their behavior under time-variant environment ruled by a certain statistics is an important problem. This paper first gives the theoretical expressions for the marginal distributions of all the ordered eigenvalues of MIMO correlation matrices under i.i.d. (independent and identically distributed) Rayleigh fading environment. Then, an approximation method of those marginal distributions is presented: We show that the theory of SIMO space diversity using maximal ratio combining (MRC) is applicable to the approximation of statistical distributions of all eigenvalues in MIMO systems with the same number of diversity branches. The derived approximation has a monomial form suitable for the calculation of various performance measures utilized in MIMO systems. Through computer simulations, the effectiveness of the proposed method is demonstrated.
机译:在多输入多输出(MIMO)通信系统中,信道相关矩阵的特征值对性能分析起着至关重要的作用,特别是研究信道相关矩阵在一定统计量支配的时变环境下的行为是一个重要问题。该文首先给出了i.i.d.(独立和同分布)瑞利衰落环境下MIMO相关矩阵所有有序特征值的边际分布的理论表达式。然后,提出了一种边际分布的近似方法:我们表明,使用最大比率组合(MRC)的SIMO空间分集理论适用于具有相同分集分支数的MIMO系统中所有特征值的统计分布的近似。推导的近似具有单项式形式,适用于计算MIMO系统中使用的各种性能测量。通过计算机仿真,验证了所提方法的有效性。

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