4.7 Article

A Unified 3D Beam Training and Tracking Procedure for Terahertz Communication

Journal

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume 21, Issue 4, Pages 2445-2461

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2021.3112493

Keywords

Training; Three-dimensional displays; Array signal processing; Protocols; Propagation losses; Receivers; Transmitters; Terahertz communication; 3D beamforming; quadruple-uniform planar array; massive MIMO; beam training; beam tracking

Funding

  1. National Key Research and Development Program of China [2018YFB1801500]
  2. National Natural Science Foundation of China (NSFC) [62171280]

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In this paper, a unified 3D beam training and tracking procedure for THz communication is proposed. A novel QUPA architecture is analyzed to enhance signal coverage and beam gain, and a low complexity 3D grid-based beam training method is designed. A grid-based hybrid beam tracking method is also investigated. Experimental results demonstrate the superiority of the proposed methods over benchmark methods.
Terahertz (THz) communication is considered as an attractive way to overcome the bandwidth bottleneck and satisfy the ever-increasing capacity demand in the future. Due to the high directivity and propagation loss of THz waves, a massive MIMO system using beamforming is envisioned as a promising technology in THz communication to realize high-gain and directional transmission. However, pilots, which are the fundamentals for many beamforming schemes, are challenging to be accurately detected in the THz band owing to the severe propagation loss. In this paper, a unified 3D beam training and tracking procedure is proposed to effectively realize the beamforming in THz communications, by considering the line-of-sight (LoS) propagation. In particular, a novel quadruple-uniform planar array (QUPA) architecture is analyzed to enlarge the signal coverage, increase the beam gain, and reduce the beam squint loss. Then, a new 3D grid-based (GB) beam training is developed with low complexity, including the design of the 3D codebook and training protocol. Finally, a simple yet effective grid-based hybrid (GBH) beam tracking is investigated to support THz beamforming in an efficient manner. The communication framework based on this procedure can dynamically trigger beam training/tracking depending on the real-time quality of service. Numerical results are presented to demonstrate the superiority of our proposed beam training and tracking over the benchmark methods.

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