Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/118335
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Electrical and Electronic Engineering | - |
| dc.creator | Du, X | - |
| dc.creator | Zhang, S | - |
| dc.creator | Lau, FCM | - |
| dc.date.accessioned | 2026-04-02T07:15:12Z | - |
| dc.date.available | 2026-04-02T07:15:12Z | - |
| dc.identifier.issn | 2162-2337 | - |
| dc.identifier.uri | http://hdl.handle.net/10397/118335 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
| dc.rights | © 2025 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. | en_US |
| dc.rights | The following publication X. Du, S. Zhang and F. C. . -M. Lau, 'Handover-Aware Trajectory Optimization for Cellular-Connected UAV,' in IEEE Wireless Communications Letters, vol. 14, no. 7, pp. 1849-1853, July 2025 is available at https://doi.org/10.1109/LWC.2025.3546724. | en_US |
| dc.subject | Cellular-connected UAV | en_US |
| dc.subject | Handover | en_US |
| dc.subject | Trajectory optimization | en_US |
| dc.title | Handover-aware trajectory optimization for cellular-connected UAV | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 1849 | - |
| dc.identifier.epage | 1853 | - |
| dc.identifier.volume | 14 | - |
| dc.identifier.issue | 7 | - |
| dc.identifier.doi | 10.1109/LWC.2025.3546724 | - |
| dcterms.abstract | In this letter, we study a cellular-connected uncrewed aerial vehicle (UAV) which aims to complete a mission of flying between two pre-determined locations while maintaining satisfactory communication quality with the ground base stations (GBSs). Due to the potentially long distance of the UAV’s flight, frequent handovers may be incurred among different GBSs, which leads to various practical issues such as large delay and synchronization overhead. To address this problem, we investigate the trajectory optimization of the UAV to minimize the number of GBS handovers during the flight, subject to a communication quality constraint and a maximum mission completion time constraint. Although this problem is non-convex and difficult to solve, we derive useful structures of the optimal solution, based on which we propose an efficient algorithm based on graph theory and Lagrangian relaxation for finding a high-quality suboptimal solution in polynomial time. Numerical results validate the effectiveness of our proposed trajectory design. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | IEEE wireless communications letters, July 2025, v. 14, no. 7, p. 1849-1853 | - |
| dcterms.isPartOf | IEEE wireless communications letters | - |
| dcterms.issued | 2025-07 | - |
| dc.identifier.scopus | 2-s2.0-85219584703 | - |
| dc.identifier.eissn | 2162-2345 | - |
| dc.description.validate | 202604 bcjz | - |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.SubFormID | G001376/2025-12 | en_US |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | This work was supported in part by the National Natural Science Foundation of China under Grant 62101474; in part by the General Research Fund from the Hong Kong Research Grants Council under Grant 15230022; and in part by the Young Collaborative Research Grant from the Hong Kong Research Grants Council under Grant PolyU C5002-23Y. | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Du_Handover-aware_Trajectory_Optimization.pdf | Pre-Published version | 751.34 kB | Adobe PDF | View/Open |
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