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首页> 外文期刊>IEEE Transactions on Communications >Hardware Distortion Correlation Has Negligible Impact on UL Massive MIMO Spectral Efficiency
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Hardware Distortion Correlation Has Negligible Impact on UL Massive MIMO Spectral Efficiency

机译:硬件失真相关性对UL大规模MIMO频谱效率的影响可忽略不计

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摘要

This paper analyzes how the distortion created by hardware impairments in a multiple-antenna base station affects the uplink spectral efficiency (SE), with a focus on massive multiple input multiple output (MIMO). This distortion is correlated across the antennas but has been often approximated as uncorrelated to facilitate (tractable) SE analysis. To determine when this approximation is accurate, basic properties of distortion correlation are first uncovered. Then, we separately analyze the distortion correlation caused by third-order non-linearities and by quantization. Finally, we study the SE numerically and show that the distortion correlation can be safely neglected in massive MIMO when there are sufficiently many users. Under independent identically distributed Rayleigh fading and equal signal-to-noise ratios (SNRs), this occurs for more than five transmitting users. Other channel models and SNR variations have only minor impact on the accuracy. We also demonstrate the importance of taking the distortion characteristics into account in the receive combining.
机译:本文重点分析了大规模多输入多输出(MIMO),分析了多天线基站中由硬件损伤造成的失真如何影响上行链路频谱效率(SE)。这种失真在天线上是相关的,但通常被近似为不相关的,以便于(易处理的)SE分析。为了确定该近似值何时准确,首先发现了失真相关性的基本属性。然后,我们分别分析由三阶非线性和量化引起的失真相关性。最后,我们对SE进行了数值研究,结果表明,当有足够多的用户时,在大规模MIMO中可以安全地忽略失真相关性。在独立的相同分布的瑞利衰落和相等的信噪比(SNR)下,这种情况发生于五个以上的发射用户。其他通道模型和SNR变化对精度的影响很小。我们还展示了在接收组合中考虑失真特性的重要性。

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