Trajectory Design and Resource Allocation for Multi-UAV Communications Under Blockage-Aware Channel Model

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Author(s)Yi, Pengfei
Author(s)Zhu, Lipeng
Author(s)Xiao, Zhenyu
Author(s)Zhang, Rui
Author(s)Han, Zhu
Author(s)Xia, Xiang-Gen
Date Accessioned2024-02-07T20:24:31Z
Date Available2024-02-07T20:24:31Z
Publication Date2023-12-05
Description© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This article was originally published in IEEE Transactions on Communications. The version of record is available at: https://doi.org/10.1109/TCOMM.2023.3339502. This article will be embargoed until 12/05/2025.
AbstractThis paper considers an unmanned aerial vehicle (UAV)-assisted communication system for data collection in urban areas, where multiple UAVs are dispatched to harvest data from multiple ground user equipments (UEs). We adopt a blockage-aware channel model to characterize the practical blockage effects for air-to-ground (A2G) links caused by buildings. Aiming to minimize the mission completion time while satisfying the data collection requirements of UEs, we formulate a problem by jointly optimizing the UAV three-dimensional (3-D) trajectory and resource allocation, including the UE scheduling and subcarrier assignment. To solve the formulated non-convex combinatorial programming problem, we propose a suboptimal algorithm that solves two subproblems iteratively. Specifically, in each iteration, the trajectory design subproblem jointly optimizes the UAVs’ waypoints and time slot length to decrease the mission completion time, which is solved by employing block successive convex approximation (BSCA). For the resource allocation subproblem, we develop a heuristic algorithm for UE scheduling and subcarrier assignment to increase the collected data volume for a given time duration. Simulation results demonstrate the superior performance of the proposed algorithm in terms of mission completion time compared to benchmark schemes.
SponsorThis work was supported in part by the National Natural Science Foundation of China (NSFC) under grant numbers 62171010 and U22A2007, the Beijing Natural Science Foundation under grant number L212003, NSF CNS- 2107216, CNS-2128368, CMMI-2222810, ECCS-2302469, US Department of Transportation, Toyota and Amazon.
CitationP. Yi, L. Zhu, Z. Xiao, R. Zhang, Z. Han and X. -G. Xia, "Trajectory Design and Resource Allocation for Multi-UAV Communications Under Blockage-Aware Channel Model," in IEEE Transactions on Communications, doi: 10.1109/TCOMM.2023.3339502
ISSN1558-0857
URLhttps://udspace.udel.edu/handle/19716/33958
Languageen_US
PublisherIEEE Transactions on Communications
KeywordsUAV communications
Keywordsblockage
Keywordstrajectory design
Keywordsresource allocation
Keywordsmission completion time
TitleTrajectory Design and Resource Allocation for Multi-UAV Communications Under Blockage-Aware Channel Model
TypeArticle
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