电讯技术2025，Vol.65Issue(1)：9-17,9.DOI:10.20079/j.issn.1001-893x.231113003
车联网异构业务共存的任务卸载和计算资源分配
Task Offloading and Computation Resource Allocation for Heterogeneous Services in Internet of Vehicles
摘要
Abstract
To solve the problem of system delay and energy consumption increase caused by unreasonable offloading decision and computation resource allocation when heterogeneous services coexist in Internet of Vehicles(IoV),a multi-stage heterogeneous services joint task offloading and computation resource allocation(MHS-JTOCRA)algorithm is proposed.A mobile edge computing(MEC)system model is constructed for the coexistence of Ultra-reliable and Low Latency Communications(URLLC)vehicles and Enhanced Mobile Broadband(eMBB)vehicles.While ensuring the quality of service(QoS)of URLLC and eMBB services,the algorithm obtains the optimal offloading decision and computing resource allocation strategy for eMBB and URLLC services by considering the computational resources required for offloading,delay and energy consumption,iteratively solving the genetic algorithm.Simulation results show that the proposed algorithm reduces delay by 16.37%and energy consumption by 12.16%compared with existing task offloading and resource allocation algorithms.关键词
车联网/eMBB-URLLC共存/任务卸载/计算资源分配/遗传算法Key words
Internet of Vehicles/eMBB-URLLC coexistence/task offloading/computation resource allocation/genetic algorithm分类
信息技术与安全科学引用本文复制引用
冯姣,白若冰,李鹏,程方,张治中..车联网异构业务共存的任务卸载和计算资源分配[J].电讯技术,2025,65(1):9-17,9.基金项目
国家重点研发计划(2022YFB2902101) （2022YFB2902101）
国家自然科学基金资助项目(61501245,62171229) （61501245,62171229）
工业和信息化部行业专项(TC210H02P) （TC210H02P）
