电讯技术2025，Vol.65Issue(11)：1944-1954,11.DOI:10.20079/j.issn.1001-893x.240918006
数字孪生驱动的车载边缘计算任务卸载研究综述
A Review of Research on Digital Twin-driven Task Offloading for Vehicular Edge Computing
摘要
Abstract
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.关键词
车载边缘计算(VEC)/任务卸载/数字孪生/卸载决策Key words
vehicular edge computing(VEC)/task offloading/digital twin/offloading decision分类
信息技术与安全科学引用本文复制引用
薛端,霍兴瀛,秦鹏..数字孪生驱动的车载边缘计算任务卸载研究综述[J].电讯技术,2025,65(11):1944-1954,11.基金项目
国家自然科学基金资助项目(62261034) （62261034）
贵州省科技厅项目(MS[2025]103,QN[2025]257) （MS[2025]103,QN[2025]257）
六盘水市科技计划项目(52020-2024-GK-02) （52020-2024-GK-02）
六盘水市科技创新人才团队项目(52020-2023-0-2-20) （52020-2023-0-2-20）
六盘水师范学院高层次人才科研启动项目(LPSSYKYJJ202318,LPSSYKYJJ202409) （LPSSYKYJJ202318,LPSSYKYJJ202409）
六盘水师范学院科研项目(LPSSYYBZK202207) （LPSSYYBZK202207）
