移动通信2025，Vol.49Issue(6)：115-122,8.DOI:10.3969/j.issn.1006-1010.20250424-0005
星地多维资源异质图表征及传算协同调度方法
A Heterogeneous Graph Representation and Transmission-Computing Cooperative Scheduling Method of Satellite-Terrestrial Resources
摘要
Abstract
In the satellite-terrestrial networks,the highly dynamic topology variations,caused by the rapid motion of low-orbiting satellites,pose significant challenges in maintaining stable multi-dimensional resource mapping relationships and thus reduce the resource utilization efficiency.To address this issue,a heterogeneous graph-based representation and cooperative scheduling method is proposed for satellite-terrestrial resources.First,a heterogeneous graph is constructed to characterize satellite-terrestrial multi-dimensional resources,where heterogeneous node attributes represent multi-dimensional resource,realizing the mapping between resources and topology,and heterogeneous edges are established with multi-dimensional constraints to adapt to the highly dynamic changes in satellite-terrestrial resource states.Second,a satellite-terrestrial transmission-computing model is developed,and a high-dimensional combinatorial optimization problem is formulated to realize the correlation decision-making in the target space.Finally,an algorithm based on a multi-objective double-deep Q-network is designed to cooperatively optimize the scheduling strategies for transmission and computing tasks.Simulation experiments show that compared with the other algorithms such as particle swarm optimization,the proposed algorithm significantly improves the resource utilization by more than 90％while exhibiting more stable performance.关键词
星地融合网络/多维资源优化/异质图表征/深度强化学习Key words
satellite-terrestrial integrated network/multi-dimensional resource optimization/heterogeneous graph representation/deep reinforcement learning分类
信息技术与安全科学引用本文复制引用
范阗,胡博,梁栩豪..星地多维资源异质图表征及传算协同调度方法[J].移动通信,2025,49(6):115-122,8.基金项目
国家自然科学基金"支持快速移动的密集接入网基础理论和关键技术研究"(61931005) （61931005）
