无线电通信技术2025，Vol.51Issue(5)：919-928,10.DOI:10.3969/j.issn.1003-3114.2025.05.005
多层空基车联网中基于切换感知的任务卸载与资源分配
Handover-aware Based Task Offloading and Resource Allocation in Multi-layer Aerial Internet of Vehicles
摘要
Abstract
The rapid development of intelligent transportation systems has intensified the demand for real-time and highly reliable computing services,driving the evolution of vehicular edge computing toward more dynamic and flexible collaborative architectures.Multi-layer aerial networks overcome the inherent limitations of traditional ground infrastructure in terms of coverage and service conti-nuity,emerging as a promising supplement and development trend for vehicular edge computing.To this end,a multi-layer aerial edge computing architecture integrating High Altitude Platform(HAP)and Unmanned Aerial Vehicle(UAV)is proposed,collaboratively providing efficient computing support for moving vehicles in the Internet of Vehicles(IoV).To address frequent aerial cell handovers caused by vehicle mobility,a novel handover-aware mechanism is introduced to predict the time window for cell switching under UAV coverage.Under the energy constraints of both vehicles and UAV,the bandwidth partitioning,computing resource allocation,and task offloading decisions are jointly optimized to minimize total task latency and mitigate handover-induced service interruptions.Moreover,to tackle the high computation complexity of the Mixed Integer Nonlinear Programming(MINLP)problem,a three-step iterative algo-rithm is designed.This algorithm decomposes the problem into subproblems of bandwidth allocation,computing resource allocation,and offloading decision optimization,which can be solved using the CVX tool,linear relaxation,and Alternating Direction Method of Multipliers(ADMM),respectively.Simulation results demonstrate that compared to baseline schemes,the proposed solution reduces total task latency by 11.9%,23.3%and 25.5%for task sizes ranging from 5～9 Mb,respectively.关键词
边缘计算/高空平台/无人机/车联网/切换感知Key words
edge computing/high-altitude platform/UAV/IoV/handover-aware分类
信息技术与安全科学引用本文复制引用
杜雪琪,那振宇,任涵涵,刘丽哲..多层空基车联网中基于切换感知的任务卸载与资源分配[J].无线电通信技术,2025,51(5):919-928,10.基金项目
国家自然科学基金(61971081)National Natural Science Foundation of China(61971081) （61971081）
