UAV trajectory optimization based on predicted user locations

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dc.contributor.authorHo, Lesteren
dc.contributor.authorJangsher, Sobiaen
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2025-01-16T10:26:55Z
dc.date.available2025-01-16T10:26:55Z
dc.date.issued2024-07-03en
dc.description.abstractUnmanned aerial vehicles (UAVs) can extend the coverage of wireless networks due to their high mobility and the favorable radio propagation characteristics. This paper studies the trajectory optimization of UAV that are acting as radio relays. The optimization is based on predicted user locations (UTO-PUL) to assist communication to the ground users who are unable to get coverage from the base station (BS). The existing work on trajectory design has considered several optimization approaches as well as reinforcement learning (RL) algorithms. All the algorithm takes into consideration the existing state of the network such as the channel conditions, initial positions and computes the destination of the UAV based on it. The proposed algorithm is designed to also consider the predicted user mobility of the future instances. The objective is to ensure the ground users are connected to the BS. The proposed UTO-PUL algorithm's performance is evaluated using simulations in a scenario with challenging terrain, where the proposed algorithm reduced the probability of users having no coverage by between 45% to 85% compared to non-predictive approaches, and achieved gains in median downlink signal power of 14 dB compared with a deep reinforcement learning (DRL) algorithm.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationHo, L. and Jangsher, S. (2024) ‘UAV trajectory optimization based on predicted user locations’, 2024 IEEE Wireless Communications and Networking Conference (WCNC), Dubai, United Arab Emirates, 21-24 April 2024, pp. 1–6. https://doi.org/10.1109/WCNC57260.2024.10570825en
dc.identifier.doihttps://doi.org/10.1109/WCNC57260.2024.10570825en
dc.identifier.eissn1558-2612en
dc.identifier.endpage6en
dc.identifier.isbn979-8-3503-0359-9en
dc.identifier.issn1525-3511en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/16837
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartof2024 IEEE Wireless Communications and Networking Conference (WCNC), Dubai, United Arab Emirates, 21-24 April 2024en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Future Innovator Prize::SFI-Defence Organisation Innovation Challenge/21/FIP/DO/9949/IE/MISTRAL: Automated Persistent Aerial Communication System/en
dc.relation.urihttps://ieeexplore.ieee.org/document/10570825en
dc.rights© 2024, 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
dc.subjectUnmanned aerial vehicle (UAV)en
dc.subjectTrajectory optimizationen
dc.subjectDroneen
dc.subjectPredictionen
dc.subjectPredicted user locationsen
dc.titleUAV trajectory optimization based on predicted user locationsen
dc.typeConference itemen
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