车联网空地协同MEC系统的通算资源在线分配优化 米
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关键词：无人机通信；空地协同；移动边缘计算；在线优化；资源信息预测中图分类号：TN929.5 文献标志码：A 文章编号：1001-3695（2025）08-030-2474-08doi：10. 19734/j.issn. 1001-3695.2025.01.0005
Research on online allocation of communication and computing resources in vehicular network air-ground cooperative MEC system
Fu Zhen’，Li Zhihao²，Zheng Taol，Luo Boya’，Cui Miao²†，Zhang Guangchi² （1.JiangxiIsteilitarytetioNc3，inhooftonEging，uagdoU Technology，Guangzhou510006，China）
Abstract：An air-ground collaborative mobile edge computing（MEC）system composed of flexibleand maneuverable unmaned aerial vehicles（UAV）andground base stations can efectively guaranteethe MECservicequalityof the Internetof Vehiclesforhighlymobileusers.Inordertoadapttothereal-timeandrandomvariationcharacteristicsofthepositionsof IoV users，this paper studiedtheoptimizationofcommunicationandcomputingresoueallocationinanonlineair-groundcollborativeMECsystem.Thisresearchdividedtheflight timeofUAVinto multipleequal-lengthtimeslots.Ateachcurent tmeslot， thispaperemployedaKalmanfilter-basedmethodtopredictthepositionsofvehicleusersinthenexttimeslot.Subsequently， basedontheresourceallocationinthecurrenttimeslot，itstudiedaproblemof jointlyoptimizing thecommunicationbandwidth，computingtaskofloadingratioUAVtrajectory，andcomputingresourcesofthesystemtominimizethecommunicationcomputation delayof vehicleusers inthenextfuturetimeslot.Toeficientlysolvethis non-convex optimizationproblem，this paper proposedaneficientalternatingoptimizationalgorithm.Itdecomposed theoriginalproblemintosub-problemsofbandwidthallcation，computing taskoflodingratioalocation，UAVtrajectoroptimiationndcomputingresourcealoationd solved thesesub-problems byalternating iteration.Thesimulationresultsverifythattheproposedonlineoptimizationalgorithm exhibitsexcelentreal-timeperformance.Itcansignificantlyreducethecommunicationandcomputationdelayrequired forvehicle tasks，demonstrating theimportanceandfeasibilityofreal-timeoptimizationofcommunicationandcomputingresources in the connected vehicle network.
Key words：UAVcommunication；air-ground colaboration；mobileedge computing；onlineoptimization；resource information prediction
0 引言
随着新兴的智能化、车载网络技术的发展，车辆可以通过先进的通信技术实现全面的车联网，车联网是汽车工业、信息产业和交通运输业融合的交汇点[1，2]。（剩余18878字）