Pilot contamination reduction based on MSE performance of channel estimation

Hairong Wang, Lihua Yang, Hongbo Zhu, Youhua Fu
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引用次数: 3

Abstract

We investigate channel estimation mean square error (MSE) performance in Massive multiple-input multiple-output (MIMO) system with pilot contamination. Different from the traditional MSE expressions, the expressions that we derived have algebraic form, which no longer need hard matrix inversion as M, the number of the base station antennas, increasing. From them, we also found that the average transmitted power and length of training sequence almost does not help in enhancing the performance of MSE as M → ∞. Based on this, a scheme to reduce pilot contamination in time division duplexing (TDD) cellular networks is proposed with simple cooperation among base stations. Numerical results finally verify our derivations and the proposed scheme.
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基于信道估计MSE性能的导频污染减少
研究了具有导频污染的大规模多输入多输出(MIMO)系统的信道估计均方误差(MSE)性能。与传统的均方误差表达式不同,我们推导的表达式具有代数形式,随着基站天线数量M的增加,不再需要进行硬矩阵反演。从中我们还发现,当M→∞时,训练序列的平均传输功率和平均长度几乎无助于MSE性能的提高。在此基础上,提出了一种通过基站间的简单合作来降低时分双工蜂窝网络导频污染的方案。最后的数值结果验证了我们的推导和所提出的方案。
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