Channel Estimation of massive MIMO Using Code Shift Keying Pilot Symbols (CSK-PS)

Jagadeesh Chandra Prasad Matta, S. P
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引用次数: 1

Abstract

: The increasing demand for bandwidth by mobile users in wireless communication becomes a challenging issue to the research community. Several theories and models have been proposed to mitigate this issue. The most effective and commonly used approach to resolve the demand shortage of bandwidth is the massive Multi-Input and Multi-Output (MIMO) approach in which the number of transmitting and receiving antennas is placed at the base station (BS) to fulfill the issue of bandwidth. However, this technique suffers from various issues in estimating the channel due to interference, beamforming, and pilot contamination. In this paper, a novel channel estimation technique is being proposed using Code Shifting Keying symbols as pilot signals (CSK-PS) to minimize the pilot contamination. These signals are used as reference signals and the received signal is detected. The presented approach reduces the interference (pilot contamination) and improves the channel estimation in massive MIMO networks by using the modified expected propagation estimation method (MEPE). The presented approach is validated using mat-lab.
基于码移键控导频符号(CSK-PS)的大规模MIMO信道估计
移动用户在无线通信中对带宽的需求日益增长,成为研究领域面临的一个具有挑战性的问题。已经提出了一些理论和模型来缓解这个问题。解决带宽需求不足最有效和最常用的方法是大规模多输入多输出(MIMO)方法,即在基站(BS)上放置大量发射和接收天线来解决带宽问题。然而,由于干扰、波束形成和导频污染,这种技术在估计信道方面存在各种问题。本文提出了一种新的信道估计技术,利用移码键控符号作为导频信号(CSK-PS)来减少导频污染。这些信号作为参考信号,并检测接收到的信号。该方法利用改进的期望传播估计方法(MEPE)降低了大规模MIMO网络中的导频污染和信道估计。本文提出的方法在matlab上得到了验证。
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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