ON PILOT CONTAMINATION IN MASSIVE MULTIPLE-INPUT MULTIPLE OUTPUT SYSTEM WITH LEAST SQUARE METHOD AND ZERO FORCING RECEIVER

Joshi Poojaben Hirenkumar, Jignesh Patel, H. Shah
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Abstract

Massive Multiple-Input Multiple-Output (MIMO) wireless communications refers to use of large number of antennas at transmitter and receiver to enhance spectral and energy efficiency. However, its performance is limited by a problem known as pilot contamination. In this paper, we present a comprehensive overview of massive MIMO system and studied degradation in performance due to pilot contamination. To showcase such effects, we have implemented the channel estimation using Least Square (LS) method with random pilots and time shifted pilot scheme through simulations. In this study we have used zero forcing (ZF) receivers. We have also studied performance improvement in presence of pilot using MMSE receiver. Further improvement is achieved in this work by introducing precoding technique for massive MIMO systems.
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基于最小二乘法和零强迫接收机的大规模多输入多输出系统导频污染研究
大规模多输入多输出(Massive Multiple-Input Multiple-Output, MIMO)无线通信是指在发射端和接收端使用大量天线来提高频谱和能量效率。然而,它的性能受到一个被称为先导污染的问题的限制。本文对大规模MIMO系统进行了全面的概述,并研究了由于导频污染导致的性能下降。为了展示这种效果,我们通过仿真实现了使用随机导频和时移导频方案的最小二乘(LS)方法进行信道估计。在这项研究中,我们使用了零强迫(ZF)接收器。我们还研究了使用MMSE接收机在导频存在下的性能改进。通过引入大规模MIMO系统的预编码技术,进一步改进了该算法。
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