Random matrix processes: Quantifying rates of change in MIMO systems

Peter J. Smith, M. Mckay, A. Giorgetti, M. Chiani
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引用次数: 3

Abstract

The rates of change of a wide variety of MIMO metrics are evaluated by differentiating the relevant random processes. Moments, distributions and simplified representations are derived where possible for the resulting derivatives. Fundamental metrics such as the channel coefficients, channel correlation matrices and eigenvalues are considered in addition to performance metrics such as bit-error-rate and the condition number. The analysis presents a comprehensive framework for studying the time-varying nature of MIMO systems in independent Rayleigh fading and leads to insights into the relative rates of change of the various metrics. For example, we show that there is a difference of several orders of magnitude between the moderate rates of change of channel elements and eigenvalues and the extremely rapid variations of the channel condition number. The channel eigenvectors are also shown to experience rapid fluctuations.
随机矩阵过程:量化MIMO系统的变化率
通过区分相关随机过程来评估各种MIMO指标的变化率。矩、分布和简化表示在可能的情况下推导出结果导数。除了考虑诸如误码率和条件数等性能指标外,还考虑诸如信道系数、信道相关矩阵和特征值等基本指标。该分析提供了一个全面的框架,用于研究独立瑞利衰落中MIMO系统的时变特性,并导致对各种指标的相对变化率的见解。例如,我们表明,在通道元素和特征值的中等变化率与通道条件数的极快速变化之间存在几个数量级的差异。通道特征向量也显示经历快速波动。
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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