Uplink Rate Based on Massive MIMO Channel Estimation Approach

B. Sissokho, J. Cances, A. Kora
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引用次数: 1

Abstract

Transmitted signal is degraded and problem remains reconstruction of symbols. In massive MIMO systems, channel estimation has been widely discussed. This paper investigated on the inaccuracy of the channel estimation and its effect on the uplink rate. Best solution is to have the most efficient channel estimation method that is not adversely affected by noise, interference and pilot contamination; hence choice of MMSE method compared to others. After channel estimation, the uplink rate is calculated at the receivers with the ZF and MMSE detectors by using training or pilot symbols. We noted that the two detectors converge towards an asymptotic solution which allows the knowledge of the channel. It is shown that the estimation error increases proportionally when the L cells significantly increases. And the higher the pilot power contamination increases respectively, the decrease in dB of the uplink rate is related proportionally to the increase of the channel attenuation.
基于大规模MIMO信道估计的上行速率方法
传输信号被降级,问题仍然是符号的重建。在大规模MIMO系统中,信道估计问题被广泛讨论。本文研究了信道估计的不准确性及其对上行速率的影响。最佳解决方案是采用最有效的信道估计方法,该方法不受噪声、干扰和导频污染的不利影响;因此,与其他方法相比,选择MMSE方法。在信道估计之后,利用训练或导频符号在具有ZF和MMSE检测器的接收机上计算上行速率。我们注意到,两个检测器收敛于一个渐近解,允许信道的知识。结果表明,当L细胞显著增加时,估计误差成比例地增大。导频功率污染增加越高,上行速率dB的下降与信道衰减的增加成正比。
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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