物联网学报2025，Vol.9Issue(1)：50-58,9.DOI:10.11959/j.issn.2096-3750.2025.00475
空天地一体化网络中的联合轨迹优化与计算卸载策略
Joint trajectory optimization and computation offloading strategy for space-air-ground integrated networks
摘要
Abstract
As a new type of network architecture,the space-air-ground integrated network can effectively improve the net-work coverage and service quality,and is the key support for the realization of the Internet of everything in the future 6G.Addressing the issues of inefficient computational resource allocation and underutilization of unmanned aerial vehicle(UAV)within such networks,a joint trajectory optimization and computation offloading strategy was proposed for the space-air-ground integrated network.Firstly,the correlation relationship between the UAV's hovering model and the ground termi-nal was analyzed.Secondly,a system energy minimization problem was established by jointly considering the UAV trajec-tory,the matching factor between the UAV and the ground terminal,the task offloading ratio and the computational resource allocation.Finally,a particle swarm optimization algorithm combined with a genetic algorithm operator was used to jointly optimize the UAV trajectory and the computational offloading scheme.The simulation results show that the proposed algo-rithm has good convergence and can reduce the system energy consumption by about 33.5%with good performance.关键词
空天地一体化网络/无人机轨迹优化/计算任务卸载/移动边缘计算Key words
space-air-ground integrated network/UAV trajectory optimization/computational task offloading/mobile edge computing分类
电子信息工程引用本文复制引用
朱昊阳,张月霞..空天地一体化网络中的联合轨迹优化与计算卸载策略[J].物联网学报,2025,9(1):50-58,9.基金项目
国家自然科学基金资助项目(No.62301058) （No.62301058）
北京市科技计划课题(No.Z191100001419012)The National Natural Science Foundation of China(No.62301058),Beijing Science and Technology Project(No.Z191100001419012) （No.Z191100001419012）
