A low‐complexity pilot contamination elimination method for channel estimation in massive MIMO systems,International Journal of Communication Systems

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A low‐complexity pilot contamination elimination method for channel estimation in massive MIMO systems
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-08-10 , DOI: 10.1002/dac.4544
Reza Ebrahimi ₁ , Hossein Zamiri-Jafarian ₁ , Morteza Khademi ₁

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Pilot contamination is a major limitation in estimating the uplink channel state in massive MIMO systems using time division duplex communication method. This limitation has a huge impediment to harnessing the main advantages of massive MIMO systems such as spectral and energy efficiencies. In this article, a new low‐complexity subspace‐based method is proposed for eliminating pilot contamination and channel estimation, which exploits virtual channel modeling combined with a new problem formulation technique. On the contrary to most of the existing approaches in which the availability of correlation matrices of users and intercell data exchanges are needed, the proposed method eliminates the pilot contamination without need these confining assumptions. By employing the virtual beam searching technique and projection onto the component subspaces of virtual beams and pilot sequences, the proposed method estimates channel vectors of different cell users with very low computational complexity. Simulation results show that the proposed method achieves good performance with very low normalized mean square error and high achievable rates in the presence of severe pilot contamination and under different cell conditions.

中文翻译：

用于大规模MIMO系统中信道估计的低复杂度导频污染消除方法

在使用时分双工通信方法的大规模MIMO系统中，导频污染是估计上行链路信道状态的主要限制。这种局限性在利用大规模MIMO系统的主要优势（例如频谱和能量效率）方面有很大的障碍。在本文中，提出了一种新的基于低复杂度子空间的方法，用于消除导频污染和信道估计，该方法将虚拟信道建模与新的问题描述技术相结合。与大多数需要用户相关矩阵和小区间数据交换的现有方法相反，所提出的方法无需这些约束假设就消除了导频污染。通过采用虚拟波束搜索技术并将其投影到虚拟波束和导频序列的子空间上，该方法以非常低的计算复杂度估计了不同小区用户的信道矢量。仿真结果表明，在存在严重的导频污染和不同的电池条件下，该方法具有很好的性能，归一化均方误差非常低，可达到的速率很高。

更新日期：2020-10-05

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