Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/31989
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dc.contributor.authorZhou, Y-
dc.contributor.authorMa, Z-
dc.contributor.authorFan, P-
dc.contributor.authorAl-Nahari, A-
dc.contributor.authorYeoh, PL-
dc.contributor.authorVucetic, B-
dc.contributor.authorLi, Y-
dc.date.accessioned2025-09-13T15:46:09Z-
dc.date.available2025-09-13T15:46:09Z-
dc.date.issued2025-08-11-
dc.identifierORCiD: Yi Zhou https://orcid.org/0000-0001-6407-068X-
dc.identifier.citationZhou, Y. et al. (2025) 'Energy Minimization for UAV-Enabled Covert Offloading MEC Systems', IEEE Transactions on Vehicular Technology, 0 (early access), pp. 1 - 6. doi: 10.1109/TVT.2025.3597542.en_US
dc.identifier.issn0018-9545-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/31989-
dc.description.abstractIn this work, a covert offloading framework is established for unmanned aerial vehicle (UAV) system. Specifically, one UAV-enabled mobile edge computing (MEC) server is deployed to assist the offloading for multiple ground users, while the offloading behavior might be exposed and detected due to the existence of a malicious warden. To enhance the covertness, each user splits a part of its power to transmit jamming signal, and the relationship between users' power split ratio and the warden's minimum detection error probability (DEP) is investigated. Then, an efficient energy minimization algorithm is designed by optimizing users' power split, computing resource allocation and deployment of the UAV-MEC server jointly, subject to specific covertness, power and transmission rate constraints. Finally, simulation results are provided to demonstrate the effectiveness of our covert offloading design.en_US
dc.description.sponsorshipThis work was supported in part by the National Key R&D Program of China under Grant 2023YFB2603500, in part by the National Natural Science Foundation of China under Grant 62271419, Grant 62301462, Grant 62361136810, and Grant U2268201, in part by UKRI Postdoc Guarantee. project S-ISAC [grant number EP/Z002435/1] and EU MSCA Postdoctoral Fellowships [grant number 101154926].-
dc.format.extent1 - 6-
dc.format.mediumPrint-Electronic-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2025 Institute of Electrical and Electronics Engineers (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 ( https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ ).-
dc.rights.urihttps://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/-
dc.subjectUAVen_US
dc.subjectMECen_US
dc.subjectjammingen_US
dc.subjectcovert offloadingen_US
dc.titleEnergy Minimization for UAV-Enabled Covert Offloading MEC Systemsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/TVT.2025.3597542-
dc.relation.isPartOfIEEE Transactions on Vehicular Technology-
pubs.issue0-
pubs.publication-statusPublished-
pubs.volume00-
dc.identifier.eissn1939-9359-
dc.rights.holderInstitute of Electrical and Electronics Engineers (IEEE)-
Appears in Collections:Dept of Computer Science Research Papers

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