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Statistical approach to MIMO capacity analysis in a fading channel

机译:衰落信道中MIMO容量分析的统计方法

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Theoretical analysis of the MIMO outage capacity distribution for an uncorrelated Rayleigh fading channel reveals that the Gaussian distribution is a good approximation, especially for large a number of antennas. The question as to whether the measured channel capacity distribution is close to the theoretical one has not been answered yet in a satisfactory way. We address this problem by developing a statistically-rigorous procedure (in terms of hypothesis testing) for the analysis of the mean and outage capacities of MIMO channels (both, theoretical models and measured) with the main goal being to compare the theoretical and measured capacity distribution, especially the validity of Gaussian approximation for the measured outage capacity. As we demonstrate, there is a tight lower bound on the amount of measured data necessary to provide a unique answer with high confidence probability. Additionally, based on the procedure above, we develop guidelines for future measurements and Monte-Carlo simulations in terms of accuracy.
机译:对不相关瑞利衰落信道的MIMO中断容量分布的理论分析表明,高斯分布是一个很好的近似值,尤其是对于大量天线而言。关于所测量的信道容量分布是否接近理论值的问题尚未以令人满意的方式回答。我们通过开发统计上严格的程序(根据假设检验)来解决此问题,以分析MIMO信道(理论模型和实测值)的均值和中断容量,主要目的是比较理论容量和实测容量分布,尤其是高斯近似对测得的中断容量的有效性。正如我们所展示的,为提供具有高置信度概率的唯一答案所必需的测量数据量具有严格的下限。此外,根据上述步骤,我们就准确性进行了未来测量和蒙特卡洛模拟的指南。

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