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Beamspace Channel Estimation for Millimeter Wave Massive MIMO System With Hybrid Precoding and Combining

机译:混合预编码与组合的毫米波大规模MIMO系统的波束空间信道估计

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摘要

In this paper, a framework of beamspace channel estimation in millimeter wave massive MIMO system is proposed. The framework includes the design of hybrid precoding and combining matrix as well as the search method for the largest entry of over-sampled beamspace receiving matrix. Then based on the framework, three channel estimation schemes including identity matrix approximation (IA) based scheme, scattered zero off-diagonal (SZO) based scheme and concentrated zero off-diagonal (CZO) based scheme are proposed. These schemes together with the existing channel estimation schemes are compared in terms of computational complexity, estimation error and total time slots for channel training. Simulation results show that the proposed schemes outperform the existing schemes and can approach the performance of the ideal case. In particular, total time slots for channel training can be substantially reduced.
机译:本文提出了毫米波大规模MIMO系统中波束空间信道估计的框架。该框架包括混合预编码和合并矩阵的设计,以及用于最大采样过的波束空间接收矩阵的最大搜索方法。然后基于该框架,提出了三种信道估计方案,包括基于单位矩阵近似(IA)的方案,基于零零偏对角线(SZO)的方案和基于零零偏对角线(CZO)的方案。将这些方案与现有的信道估计方案一起在计算复杂性,估计误差和用于信道训练的总时隙方面进行比较。仿真结果表明,所提出的方案优于现有方案,能够逼近理想情况。特别地,可以大大减少用于信道训练的总时隙。

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