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A Review of Research on Digital Twin-driven Task Offloading for Vehicular Edge Computing
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Duan XUE, Xingying HUO, Peng QIN
Telecommunication Engineering | 2025, 65(11) : 1944 - 1954
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Telecommunication Engineering | 2025, 65(11): 1944-1954
• Summarization and Review •
A Review of Research on Digital Twin-driven Task Offloading for Vehicular Edge Computing
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Duan XUE, Xingying HUO, Peng QIN
Affiliations
  • School of Computer Science，Liupanshui Normal University，Liupanshui 553004，China
Published: 2025-11-28 doi: 10.20079/j.issn.1001-893x.240918006
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Vehicular edge computing(VEC) converges the computing resources of cloud servers to the edge of the network closer to the vehicle side, allowing vehicles to offload vehicular computing tasks to the network edge servers,thus providing vehicles with low latency,high bandwidth and high reliability services. However,the highly dynamic network topology,strict low-delay constraints,and massive data of vehicular tasks of VEC pose significant challenges for implementing efficient offloading. The digital twin(DT)-driven VEC model can enable real-time monitoring of the state of the VEC network,thus assisting in making sound offloading decisions in the physical world. Firstly, the research progress of edge computing, available vehicles and DT-driven VEC task offloading methods are introduced. Then,the scenario architecture of DT-driven task offloading for VEC is elaborated. Finally,the future research challenges and solutions of DT-driven VEC task offloading methods are discussed,in hope of providing certain guidance for solving the problem of DT-driven VEC task offloading.

vehicular edge computing（VEC）  /  task offloading  /  digital twin  /  offloading decision
Duan XUE, Xingying HUO, Peng QIN. A Review of Research on Digital Twin-driven Task Offloading for Vehicular Edge Computing[J]. Telecommunication Engineering, 2025 , 65 (11) : 1944 -1954 . DOI: 10.20079/j.issn.1001-893x.240918006
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Year 2025 volume 65 Issue 11
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doi: 10.20079/j.issn.1001-893x.240918006
  • Receive Date：2024-09-18
  • Online Date：2026-04-15
  • Published：2025-11-28
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  • Received：2024-09-18
  • Revised：2024-11-13
Affiliations
    School of Computer Science，Liupanshui Normal University，Liupanshui 553004，China
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