Wideband Channel Tracking for Millimeter Wave Massive Mimo Systems with Hybrid Beamforming Reception

G. Alexandropoulos, Evangelos Vlachos, J. Thompson
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引用次数: 3

Abstract

Millimeter Wave (mmWave) massive Multiple Input Multiple Output (MIMO) channel tracking is a challenging task with Hybrid analog and digital BeamForming (HBF) reception architectures. The wireless channel can only be spatially sampled with directive analog beams, which results in lengthy training periods when beam codebooks are large. In this paper, we capitalize on a recently proposed HBF architecture enabling mmWave massive MIMO channel estimation with short beam training overhead, and present a matrix-completion-based channel tracking technique for time correlated HBF receivers. The considered channel tracking problem is formulated as a constrained multi-objective optimization problem incorporating the low rank and group-sparse properties of the mmWave channel as well as a popular model for its time correlation. We present an efficient algorithm for this estimation problem that is based on the alternating direction method of multipliers. Comparisons of the proposed approach over representative state-of-the-art techniques showcase the relation between the channel time correlation coefficient and the amount of beam training needed for acceptable channel estimation performance.
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混合波束成形接收毫米波海量Mimo系统的宽带信道跟踪
在混合模拟和数字波束成形(HBF)接收架构下,毫米波(mmWave)大规模多输入多输出(MIMO)信道跟踪是一项具有挑战性的任务。无线信道只能用定向模拟波束进行空间采样,当波束码本较大时,训练周期较长。在本文中,我们利用最近提出的HBF架构,利用短波束训练开销实现毫米波大规模MIMO信道估计,并提出了一种基于矩阵补全的时间相关HBF接收机信道跟踪技术。所考虑的信道跟踪问题被表述为一个约束多目标优化问题,该问题结合了毫米波信道的低秩和群稀疏特性以及其时间相关的流行模型。我们提出了一种基于乘法器交替方向法的有效估计算法。将所提出的方法与代表性的最新技术进行比较,显示了信道时间相关系数与可接受的信道估计性能所需的波束训练量之间的关系。
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