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Near-Field Beam Training in Terahertz Communications with Hybrid Beamforming Architecture
Terahertz (THz) communication has a large available bandwidth, which is expected to be deployed in future communication networks. As THz wave suffers from severe propagation loss in wireless transmission, we consider a THz near-field scenario where a base station (BS) is equipped with a large-scale...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140940/ https://www.ncbi.nlm.nih.gov/pubmed/37421112 http://dx.doi.org/10.3390/mi14040880 |
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author | Xie, Yuxin Ning, Boyu Li, Lingxiang Chen, Zhi |
author_facet | Xie, Yuxin Ning, Boyu Li, Lingxiang Chen, Zhi |
author_sort | Xie, Yuxin |
collection | PubMed |
description | Terahertz (THz) communication has a large available bandwidth, which is expected to be deployed in future communication networks. As THz wave suffers from severe propagation loss in wireless transmission, we consider a THz near-field scenario where a base station (BS) is equipped with a large-scale antenna array with a low-cost hybrid beamforming architecture to serve mobile users nearby. However, the large-scale array and the user mobility incur difficulty in channel estimation. To tackle this issue, we propose a near-field beam training scheme that can align a beam to the user in a fast way by searching the codebook. Specifically, the BS employs a uniform circular array (UCA), and the radiation pattern of the beams in our proposed codebook appears as ellipsoids. To cover the serving zone with the minimum codebook size, we develop a near-field codebook by tangent arrangement approach (TAA). To reduce the time overhead, we leverage the hybrid beamforming architecture to realize multi-beam training concurrently since each RF chain can enable a codeword whose element has a constant magnitude. Numerical results validate that our proposed UCA near-field codebook achieves less time cost while achieving a comparable coverage performance compared to the conventional near-field codebook. |
format | Online Article Text |
id | pubmed-10140940 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101409402023-04-29 Near-Field Beam Training in Terahertz Communications with Hybrid Beamforming Architecture Xie, Yuxin Ning, Boyu Li, Lingxiang Chen, Zhi Micromachines (Basel) Article Terahertz (THz) communication has a large available bandwidth, which is expected to be deployed in future communication networks. As THz wave suffers from severe propagation loss in wireless transmission, we consider a THz near-field scenario where a base station (BS) is equipped with a large-scale antenna array with a low-cost hybrid beamforming architecture to serve mobile users nearby. However, the large-scale array and the user mobility incur difficulty in channel estimation. To tackle this issue, we propose a near-field beam training scheme that can align a beam to the user in a fast way by searching the codebook. Specifically, the BS employs a uniform circular array (UCA), and the radiation pattern of the beams in our proposed codebook appears as ellipsoids. To cover the serving zone with the minimum codebook size, we develop a near-field codebook by tangent arrangement approach (TAA). To reduce the time overhead, we leverage the hybrid beamforming architecture to realize multi-beam training concurrently since each RF chain can enable a codeword whose element has a constant magnitude. Numerical results validate that our proposed UCA near-field codebook achieves less time cost while achieving a comparable coverage performance compared to the conventional near-field codebook. MDPI 2023-04-19 /pmc/articles/PMC10140940/ /pubmed/37421112 http://dx.doi.org/10.3390/mi14040880 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Xie, Yuxin Ning, Boyu Li, Lingxiang Chen, Zhi Near-Field Beam Training in Terahertz Communications with Hybrid Beamforming Architecture |
title | Near-Field Beam Training in Terahertz Communications with Hybrid Beamforming Architecture |
title_full | Near-Field Beam Training in Terahertz Communications with Hybrid Beamforming Architecture |
title_fullStr | Near-Field Beam Training in Terahertz Communications with Hybrid Beamforming Architecture |
title_full_unstemmed | Near-Field Beam Training in Terahertz Communications with Hybrid Beamforming Architecture |
title_short | Near-Field Beam Training in Terahertz Communications with Hybrid Beamforming Architecture |
title_sort | near-field beam training in terahertz communications with hybrid beamforming architecture |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140940/ https://www.ncbi.nlm.nih.gov/pubmed/37421112 http://dx.doi.org/10.3390/mi14040880 |
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