通信学报2024，Vol.45Issue(7)：61-69,9.DOI:10.11959/j.issn.1000-436x.2024065
LEO星座边缘计算网络中的动态计算卸载策略
Dynamic computing offloading strategy in LEO constellation edge computing network
摘要
Abstract
In satellite edge computing networks,when too many ground users access the satellite through the same chan-nel,the resulting co-channel interference will lead to edge computing performance degradation.To address this problem,a multi-user computing offloading strategy based on stochastic game was proposed under the system model of dynamic environment low earth orbit constellation edge computing network.On the premise of considering the selfishness of us-ers,the stochastic characteristics of the satellite-ground channel and the dynamic nature of ground user access,from the perspective of game theory,the offloading decision-making process of ground users in the dynamic environment was for-mulated as a stochastic game.It was proved that the formulated stochastic game was equivalent to a weighted potential game with at least one Nash Equilibrium(NE),and the NE minimized the system overhead.In order to achieve NE in a distributed manner under dynamic environment,an intelligent stochastic learning algorithm based on the stochastic learn-ing was designed to efficiently achieve NE for the proposed stochastic game.Simulation results show that compared to the benchmark algorithm,the proposed algorithm can significantly reduce the co-channel interference and the system overhead,and achieve near-optimal performance.关键词
空间物联网/边缘计算/计算卸载/动态环境/势博弈Key words
Internet of space things/edge computing/computing offloading/dynamic environment/potential game分类
电子信息工程引用本文复制引用
高玉芳,姬智,赵康僆,李文峰,胡佩聪..LEO星座边缘计算网络中的动态计算卸载策略[J].通信学报,2024,45(7):61-69,9.基金项目
国家自然科学基金资助项目(No.62131012) （No.62131012）
中央高校基本科研业务费专项资金资助项目(No.021014380187) The National Natural Science Foundation of China(No.62131012),The Fundamental Research Funds for the Central Universities(No.021014380187) （No.021014380187）
