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Simultaneous multi-beam training for millimeter-wave communication system

Simultaneous multi-beam training for millimeter-wave communication system
Simultaneous multi-beam training for millimeter-wave communication system
Millimeter-wave communication is regarded as a promising technology for the next generation communication system, where beamforming and beam training are essential for power concentration and coverage extension. In this paper, we propose an angular domain separation based multi-beam training (ADS-MBT) scheme and an angular domain separation based hierarchical multi-beam training (ADS-HMBT) scheme, which enable simultaneous multi-beam training under the single data stream constraint. We provide theoretical analysis on the performance of the proposed schemes and optimize the non-orthogonal codebook used in the proposed schemes accordingly. With this appropriate design, our proposed ADS-MBT scheme can achieve almost the same beamforming gain as the exhaustive scheme but only imposing half or less time slot consumption. The proposed ADS-HMBT scheme further reduces the training overhead, and it outperforms the existing two-layer hierarchical search, in terms of training overhead and beamforming gain in the multiple feedback beam training case. Simulation results show the effectiveness and superior performance of our both proposed schemes over the existing state-of-the-arts.
Array signal processing, Delays, Machine learning, Millimeter wave communication, Millimeter-wave, Multipath channels, Radio frequency, Training, angular domain separation, beam training, initial access
0018-9545
10631-10645
Zhuo, Yinxiao
43a54492-8d34-4f12-86b0-39b4a8d4b6e0
Sha, Ziyuan
5f4ce229-0c1e-44c0-b0e1-22a2c0b68cc7
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Zhuo, Yinxiao
43a54492-8d34-4f12-86b0-39b4a8d4b6e0
Sha, Ziyuan
5f4ce229-0c1e-44c0-b0e1-22a2c0b68cc7
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80

Zhuo, Yinxiao, Sha, Ziyuan, Wang, Zhaocheng and Chen, Sheng (2022) Simultaneous multi-beam training for millimeter-wave communication system. IEEE Transactions on Vehicular Technology, 71 (10), 10631-10645. (doi:10.1109/TVT.2022.3185739).

Record type: Article

Abstract

Millimeter-wave communication is regarded as a promising technology for the next generation communication system, where beamforming and beam training are essential for power concentration and coverage extension. In this paper, we propose an angular domain separation based multi-beam training (ADS-MBT) scheme and an angular domain separation based hierarchical multi-beam training (ADS-HMBT) scheme, which enable simultaneous multi-beam training under the single data stream constraint. We provide theoretical analysis on the performance of the proposed schemes and optimize the non-orthogonal codebook used in the proposed schemes accordingly. With this appropriate design, our proposed ADS-MBT scheme can achieve almost the same beamforming gain as the exhaustive scheme but only imposing half or less time slot consumption. The proposed ADS-HMBT scheme further reduces the training overhead, and it outperforms the existing two-layer hierarchical search, in terms of training overhead and beamforming gain in the multiple feedback beam training case. Simulation results show the effectiveness and superior performance of our both proposed schemes over the existing state-of-the-arts.

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Accepted/In Press date: 20 June 2022
e-pub ahead of print date: 23 June 2022
Published date: 1 October 2022
Additional Information: Publisher Copyright: IEEE
Keywords: Array signal processing, Delays, Machine learning, Millimeter wave communication, Millimeter-wave, Multipath channels, Radio frequency, Training, angular domain separation, beam training, initial access

Identifiers

Local EPrints ID: 467687
URI: http://eprints.soton.ac.uk/id/eprint/467687
ISSN: 0018-9545
PURE UUID: 38af0019-7cb9-4302-856f-56da5199f112

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Date deposited: 19 Jul 2022 16:49
Last modified: 16 Mar 2024 18:04

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Contributors

Author: Yinxiao Zhuo
Author: Ziyuan Sha
Author: Zhaocheng Wang
Author: Sheng Chen

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