Robust high-performance Bi-directional phase synchronization algorithm for distributed and collaborative beamforming
Robust high-performance Bi-directional phase synchronization algorithm for distributed and collaborative beamforming
The distributed and collaborative beamforming (DCBF) technology has emerged as a promising enabler, which bears the potential for substantially improving both energy efficiency and communication range of low-power wireless networks, such as wireless sensor networks, millimeter-wave/terahertz communication networks, machine-to-machine communication networks, and UAV communication networks. However, since the distributed transmitters are naturally asynchronous, and both the transmitters and receivers are movable, achieving phase synchronization at the target receiver remains a critical challenge for practical implementations of DCBF. As a remedy, in this paper we propose a high-performance robust bi-directional phase synchronization algorithm for DCBF. Different from the previous works that primarily focus on optimizing adaptive phase perturbation sizes, the proposed algorithm further introduces a novel adaptive mechanism to leverage the directional information of the phase perturbation to jointly accelerate the convergence speed and improve the synchronization accuracy. Extensive simulation results are provided to validate the superior performance of the proposed phase synchronization scheme over existing state-ofthe-art schemes.
Distributed beamforming, collaborative beamforming, feedback communication, one-bit feedback information
Zhai, Hou-Yu
582a4738-0cd5-4d5f-8103-f685d3460900
Yang, Shaoshi
23650ec4-bcc8-4a2c-b1e7-a30893f52e52
Wang, Xiao-Yang
6f6e5675-af49-4c06-8abf-2a45a9427fb8
Tan, Jing-Sheng
055b48bd-5b1c-498c-94b9-f5c5818459ea
Luo, Yu-Song
1099e6c6-ebfb-4edf-83a1-e6ba86334060
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Zhai, Hou-Yu
582a4738-0cd5-4d5f-8103-f685d3460900
Yang, Shaoshi
23650ec4-bcc8-4a2c-b1e7-a30893f52e52
Wang, Xiao-Yang
6f6e5675-af49-4c06-8abf-2a45a9427fb8
Tan, Jing-Sheng
055b48bd-5b1c-498c-94b9-f5c5818459ea
Luo, Yu-Song
1099e6c6-ebfb-4edf-83a1-e6ba86334060
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Zhai, Hou-Yu, Yang, Shaoshi, Wang, Xiao-Yang, Tan, Jing-Sheng, Luo, Yu-Song and Chen, Sheng
(2026)
Robust high-performance Bi-directional phase synchronization algorithm for distributed and collaborative beamforming.
IEEE Transactions on Vehicular Technology.
(doi:10.1109/TVT.2026.3652732).
Abstract
The distributed and collaborative beamforming (DCBF) technology has emerged as a promising enabler, which bears the potential for substantially improving both energy efficiency and communication range of low-power wireless networks, such as wireless sensor networks, millimeter-wave/terahertz communication networks, machine-to-machine communication networks, and UAV communication networks. However, since the distributed transmitters are naturally asynchronous, and both the transmitters and receivers are movable, achieving phase synchronization at the target receiver remains a critical challenge for practical implementations of DCBF. As a remedy, in this paper we propose a high-performance robust bi-directional phase synchronization algorithm for DCBF. Different from the previous works that primarily focus on optimizing adaptive phase perturbation sizes, the proposed algorithm further introduces a novel adaptive mechanism to leverage the directional information of the phase perturbation to jointly accelerate the convergence speed and improve the synchronization accuracy. Extensive simulation results are provided to validate the superior performance of the proposed phase synchronization scheme over existing state-ofthe-art schemes.
Text
tvt-DCBF
- Accepted Manuscript
More information
Accepted/In Press date: 7 January 2026
e-pub ahead of print date: 19 January 2026
Keywords:
Distributed beamforming, collaborative beamforming, feedback communication, one-bit feedback information
Identifiers
Local EPrints ID: 509261
URI: http://eprints.soton.ac.uk/id/eprint/509261
ISSN: 0018-9545
PURE UUID: 939d09d1-cba8-4ca3-9dd2-12e93eb0b149
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Date deposited: 16 Feb 2026 17:54
Last modified: 18 Feb 2026 17:48
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Contributors
Author:
Hou-Yu Zhai
Author:
Shaoshi Yang
Author:
Xiao-Yang Wang
Author:
Jing-Sheng Tan
Author:
Yu-Song Luo
Author:
Sheng Chen
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