重庆邮电大学学报（自然科学版）2025，Vol.37Issue(4)：471-482,12.DOI:10.3979/j.issn.1673-825X.202412090292
星地融合网络中的计算卸载与资源分配联合优化
Joint optimization of computation offloading and resource allocation in satellite-terrestrial integrated networks
摘要
Abstract
Satellite-terrestrial integrated networks,with its advantages of wide coverage,large capacity and flexible networ-king,can effectively improve the overall utilization rate of network resources and provide users with a full range of compu-ting services and diversified access services.Aiming at the problems such as satellite high-speed mobility,time-varying of satellite-ground channel,diversity of terminal computing tasks and randomness of user resource request,this paper proposes a joint optimization scheme based on collaborative satellite computation offloading and resource allocation(CSCORA).First,the satellite-terrestrial network model is built by configuring the edge server on the base station side and the satellite side,and the computing cost model is constructed from the two aspects of time delay and energy consumption.Then,ac-cording to the partial binary offload and partial task migration modes,a computational offload strategy based on satellite-ter-restrial and inter-satellite cooperation is proposed.Meanwhile,according to the computational offload and node cooperation modes,the computational resources of the base station and satellite edge server are optimized.The alternate optimization al-gorithm is used to decouple the mixed integer nonlinear programming problem into the computation offloading sub-problem and the resource allocation sub-problem.It is respectively solved using the alternating direction method of multipliers and the Lagrange multiplier method.Simulation results show that the proposed CSCORA scheme effectively enhances computa-tional performance while reducing processing delay and system energy consumption.关键词
星地融合网络/计算卸载/资源分配/处理时延/系统能耗Key words
satellite-terrestrial integrated networks/computation offloading/resource allocation/processing delay/system energy consumption分类
信息技术与安全科学引用本文复制引用
戴翠琴,李小玉,廖明霞,鲍宁海..星地融合网络中的计算卸载与资源分配联合优化[J].重庆邮电大学学报（自然科学版）,2025,37(4):471-482,12.基金项目
国家自然科学基金项目(62331017) （62331017）
重庆市教委自然科学基金项目(KJQN202000645) National Natural Science Foundation of China(62331017) （KJQN202000645）
Natural Science Foundation of Chongqing Municipal Education Commission(KJQN202000645) （KJQN202000645）
