Joint optimization of power allocation and beamforming for UAV-RIS communication system
Joint optimization of power allocation and beamforming for UAV-RIS communication system
This letter considers the communication system assisted by a fixed-trajector uncrewed aerial vehicle (UAV), which is equipped with a reconfigurable intelligent surface (RIS). For this UAV-RIS assisted system, we jointly optimize the power allocation and active beamforming at the base station (BS) and the passive beamforming at the RIS, by a novel phase block coordinate descent algorithm framework aimed at maximizing the system sum-rate. Specifically, the joint optimization problem is decomposed into two phases, and we propose two optimization algorithms: one for BS power allocation using fractional programming (FP) and the other for jointly optimizing active and passive beamforming using FP-manifold, which alternately optimize two phases. Simulation results not only highlight the rapid convergence and evident superiority of our proposed framework but also reveal that the optimal UAV-RIS placement is related to the flight height.
Beamforming, power allocation, reconfigurable intelligent surface, unmanned aerial vehicle, uncrewed aerial vehicle
1733-1737
Guo, Xinying
4c93cc91-7ace-4d5d-989c-ff2803355fd1
Liu, Longfei
18f2dded-ee16-4350-b8c8-5c9b55264c9a
Zhang, Jiankang
d0ccd322-f0f9-4e58-915b-0d66ef179df8
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
24 March 2025
Guo, Xinying
4c93cc91-7ace-4d5d-989c-ff2803355fd1
Liu, Longfei
18f2dded-ee16-4350-b8c8-5c9b55264c9a
Zhang, Jiankang
d0ccd322-f0f9-4e58-915b-0d66ef179df8
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Guo, Xinying, Liu, Longfei, Zhang, Jiankang and Chen, Sheng
(2025)
Joint optimization of power allocation and beamforming for UAV-RIS communication system.
IEEE Wireless Communications Letters, 14 (6), .
(doi:10.1109/LWC.2025.3554304).
Abstract
This letter considers the communication system assisted by a fixed-trajector uncrewed aerial vehicle (UAV), which is equipped with a reconfigurable intelligent surface (RIS). For this UAV-RIS assisted system, we jointly optimize the power allocation and active beamforming at the base station (BS) and the passive beamforming at the RIS, by a novel phase block coordinate descent algorithm framework aimed at maximizing the system sum-rate. Specifically, the joint optimization problem is decomposed into two phases, and we propose two optimization algorithms: one for BS power allocation using fractional programming (FP) and the other for jointly optimizing active and passive beamforming using FP-manifold, which alternately optimize two phases. Simulation results not only highlight the rapid convergence and evident superiority of our proposed framework but also reveal that the optimal UAV-RIS placement is related to the flight height.
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Accepted/In Press date: 21 March 2025
Published date: 24 March 2025
Keywords:
Beamforming, power allocation, reconfigurable intelligent surface, unmanned aerial vehicle, uncrewed aerial vehicle
Identifiers
Local EPrints ID: 500292
URI: http://eprints.soton.ac.uk/id/eprint/500292
ISSN: 2162-2337
PURE UUID: 2ba3fdfc-0012-4f19-94ec-39165c9d75f8
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Date deposited: 23 Apr 2025 16:58
Last modified: 03 Sep 2025 16:34
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Author:
Xinying Guo
Author:
Longfei Liu
Author:
Jiankang Zhang
Author:
Sheng Chen
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