基于简单有效信道估计器的大规模MU-MIMO性能分析

F. A. P. Figueiredo, C. Dias, E. Lima, G. Fraidenraich
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引用次数: 1

摘要

准确的信道估计对于大规模MIMO系统至关重要,因为它可以显著提高频谱和能量效率。在这项工作中,我们研究了频谱效率性能,并提出了一个受导频污染的多小区大规模MIMO系统的信道估计器。所提出的信道估计器在不需要预先知道单元间大尺度信道系数和噪声功率的情况下,在中度到严重的导频污染情况下表现良好。随着天线数量的增加,估计器估计线性最小均方误差(MMSE)的性能。接下来,我们推导了该信道估计器中最大比组合(MRC)检测器的下界闭式频谱效率。仿真结果表明,该估计器的性能逐渐接近线性最小均方误差信道估计器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Analysis of Large-Scale MU-MIMO with a Simple and Effective Channel Estimator
Accurate channel estimation is of utmost importance for massive MIMO systems that allow providing significant improvements in spectral and energy efficiency. In this work, we investigate the spectral efficiency performance and present a channel estimator for multi-cell massive MIMO systems subjected to pilot-contamination. The proposed channel estimator performs well under moderate to aggressive pilot contamination scenarios without prior knowledge of the inter-cell large-scale channel coefficients and noise power. The estimator approximates the performance of a linear Minimum Mean Square Error (MMSE) as the number of antennas increases. Following, we derive a lower bound closed-form spectral efficiency of the Maximum Ratio Combining (MRC) detector in the proposed channel estimator. The simulation results highlight that the proposed estimator performance approaches the linear minimum mean square error (LMMSE) channel estimator asymptotically.
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