移动通信2025，Vol.49Issue(6)：52-58,7.DOI:10.3969/j.issn.1006-1010.20250422-0001
面向星地融合网络资源优化的智能任务调度机制
Intelligent Task Scheduling Mechanism for Resource Optimization in Satellite-Terrestrial Integrated Networks
郑雨昊 1唐琴琴 1谢人超 1张然 1黄韬1
作者信息
- 1. 北京邮电大学网络与交换技术全国重点实验室,北京 100876
- 折叠
摘要
Abstract
In recent years,with the rapid development of satellite-terrestrial integrated networks and the growing number of low Earth orbit(LEO)satellites,achieving efficient task scheduling and resource allocation in dynamic and complex network environments has become a critical challenge.This paper proposes an intelligent task scheduling mechanism for resource optimization in satellite-terrestrial integrated networks,enabling the joint optimization of computing and communication resources.The proposed mechanism models the task scheduling problem as a mixed-integer programming problem that minimizes the overall latency and system computing load while maximizing the task scheduling success rate.A heuristic algorithm is introduced to efficiently solve the problem.Experimental results demonstrate the effectiveness and superiority of the proposed method.关键词
星地融合网络/联合优化/任务调度Key words
satellite-terrestrial integrated network/joint optimization/task scheduling分类
电子信息工程引用本文复制引用
郑雨昊,唐琴琴,谢人超,张然,黄韬..面向星地融合网络资源优化的智能任务调度机制[J].移动通信,2025,49(6):52-58,7.
