Pilot decontamination in massive MIMO systems: Exploiting channel sparsity with pilot assignment

Zhilin Chen, Chenyang Yang
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引用次数: 13

Abstract

This paper deals with the pilot contamination problem for massive MIMO systems. Considering the sparse nature of channel impulse response inherent in wideband systems, the paths of channels of the desired and interference users hardly arrive at the same time, which allows most paths of desired channel to be distinguishable from the paths of interference channels in time-domain. Based on this observation, we first estimate the power delay profile (PDP) of the desired channel with the contaminated channel estimate, from which we acquire the delay of each path of the desired channel. By extracting the corresponding channel components from the contaminated channel estimate, a clean channel estimate can be obtained. To reduce the impact of pilot contamination on the estimated PDP, we propose a pilot assignment method among adjacent cells to randomize the interference over successive uplink frames. Simulation results demonstrate substantial sum rate gain of the proposed approach over existing methods.
大规模MIMO系统中的导频净化:利用导频分配的信道稀疏性
研究了大规模MIMO系统的导频污染问题。考虑到宽带系统固有的信道脉冲响应的稀疏性,期望用户和干扰用户的信道路径很难同时到达,这使得期望信道的大多数路径在时域上与干扰信道的路径能够区分开来。在此基础上,我们首先用污染信道估计值估计期望信道的功率延迟曲线(PDP),从中我们得到期望信道的每条路径的延迟。通过从被污染的信道估计中提取相应的信道分量,可以得到一个干净的信道估计。为了减少导频污染对估计PDP的影响,我们提出了相邻单元之间的导频分配方法,以随机化连续上行帧上的干扰。仿真结果表明,与现有方法相比,该方法具有显著的和速率增益。
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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