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首页> 外文期刊>Wireless Communications Letters, IEEE >Nonasymptotic Analysis of Capacity in Massive MIMO Systems
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Nonasymptotic Analysis of Capacity in Massive MIMO Systems

机译：大规模MIMO系统中容量的非渐近分析。

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摘要

In this letter, we analyze the capacity of a point-to-point massive MIMO system in the regime of a large (but finite) number of antennas. Different from previous works resorting to asymptotic random matrix theory, concentration inequalities are used in our nonasymptotic analysis for massive MIMO systems with a finite number of antennas. We first derive deterministic bounds on the ergodic capacity for massive MIMO systems. Furthermore, we obtain within which the instantaneous capacity falls with a . As the number of antennas increases, the statistical bounds on the instantaneous capacity become tighter and the corresponding falling-in probability increases, which reveals an interesting phenomenon that the instantaneous capacity has fewer random fluctuations as the number of antennas becomes larger. Simulations show that these theoretical bounds match well with our experimental results. Therefore, the bounds can be useful for the design and analysis of practical massive MIMO systems with a large but finite number of antennas.
机译：在这封信中，我们分析了在天线数量较大（但数量有限）的情况下点对点大规模MIMO系统的容量。与以前的采用渐近随机矩阵理论的工作不同，在我们针对具有有限数量天线的大规模MIMO系统的非渐近分析中使用了浓度不等式。我们首先得出大规模MIMO系统的遍历容量的确定性边界。此外，我们得出瞬时容量在其中落入。随着天线数量的增加，瞬时容量的统计界限变得越来越严格，相应的掉电概率也随之增加，这揭示了一个有趣的现象，即随着天线数量的增加，瞬时容量的随机波动变小。仿真表明，这些理论范围与我们的实验结果非常吻合。因此，对于具有大量但数量有限的天线的大规模MIMO系统的设计和分析，边界可能很有用。

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