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Joint Task Offloading and Resource Allocation for Integrated V2V and V2I Communication
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dc.contributor.author Choi, Pyeongjun -
dc.contributor.author Kim, Jeonghwan -
dc.contributor.author Kwak, Jeongho -
dc.date.accessioned 2025-02-21T16:10:22Z -
dc.date.available 2025-02-21T16:10:22Z -
dc.date.created 2025-02-20 -
dc.date.issued 2024-10-16 -
dc.identifier.isbn 9798350364637 -
dc.identifier.issn 2162-1241 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/57920 -
dc.description.abstract As autonomous driving technology becomes more sophisticated, VEC is in the limelight. However, it faces limitations in network conditions or the existence of RSU. In this paper, we propose a Lyapunov optimization-based algorithm that jointly optimizes both offloading policy and computing resources to minimize energy consumption while maintaining finite service time with the help of V2V and V2I communication. © 2024 IEEE. -
dc.language English -
dc.publisher IEEE Computer Society -
dc.relation.ispartof International Conference on ICT Convergence -
dc.title Joint Task Offloading and Resource Allocation for Integrated V2V and V2I Communication -
dc.type Conference Paper -
dc.identifier.doi 10.1109/ICTC62082.2024.10827653 -
dc.identifier.scopusid 2-s2.0-85217702552 -
dc.identifier.bibliographicCitation Choi, Pyeongjun. (2024-10-16). Joint Task Offloading and Resource Allocation for Integrated V2V and V2I Communication. 15th International Conference on Information and Communication Technology Convergence, ICTC 2024, 609–610. doi: 10.1109/ICTC62082.2024.10827653 -
dc.identifier.url https://2024.ictc.org/program_proceeding -
dc.citation.conferenceDate 2024-10-16 -
dc.citation.conferencePlace KO -
dc.citation.conferencePlace 제주 -
dc.citation.endPage 610 -
dc.citation.startPage 609 -
dc.citation.title 15th International Conference on Information and Communication Technology Convergence, ICTC 2024 -
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Kwak, Jeongho곽정호

Department of Electrical Engineering and Computer Science

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