Compressive Sensing-Based Beam Alignment Schemes for Time-Varying Millimeter-Wave Channels

被引:10
作者
Khordad, Erfan [1 ]
Collings, Iain B. [1 ]
Hanly, Stephen V. [1 ]
Caire, Giuseppe [2 ]
机构
[1] Macquarie Univ, Sch Engn, Sydney, NSW 2109, Australia
[2] Tech Univ Berlin, Elect Engn & Comp Sci Dept, D-10587 Berlin, Germany
关键词
Millimeter wave communication; Training; Switches; Wideband; Structural beams; Sparse matrices; Channel estimation; MIMO; millimeter wave; beam alignment; compressed sensing; wideband; varying channels; frequency selective; beam switching; multiuser; COVARIANCE ESTIMATION; CONSTRUCTIONS; MATRICES;
D O I
10.1109/TWC.2022.3205702
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper considers the implementation of compressive sensing (CS) approaches for beam alignment (BA) in multiuser millimeter wave (mmWave) MIMO systems. We particularly consider wideband time-varying channels in the practical low SNR regime. We examine two different time scales for beam-switching in the BA training phase at both the base station (BS) and the user equipment (UE). We also compare different time scales for running the CS algorithm at the UE, with their corresponding overhead and complexity. We propose an overarching trial-based protocol that re-initializes the BA process at particular times. We also propose a new approach to designing the CS sensing matrix (SM), based on a deterministic construction. Rows of our proposed SM are Kronecker product decomposable, making it ideal for the BA problem. We show that when block-based beam switching is employed in combination with running the CS algorithm Every Epoch (CS-EE), our proposed SM gives superior performance compared to the other approaches. Moreover, our proposed overarching trial-based protocol enhances the performance even further. We also show that running the CS algorithm Every Block (CS-EB) outperforms CS-EE at the cost of higher complexity and overhead.
引用
收藏
页码:1604 / 1617
页数:14
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