Delay-optimal multi-satellite collaborative computation offloading supported by OISL in LEO satellite network  

作　　者：ZHANG Tingting GUO Zijian LI Bin FENG Yuan FU Qi HU Mingyu QU Yunbo 

机构地区：[1]School of Integrated Circuits and Electronics,Beijing Institute of Technology,Beijing 100081,China [2]Yangtze Delta Region Academy,Beijing Institute of Technology,Jiaxing 314000,China [3]School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China [4]China Research and Development Academy of Machinery Equipment,Beijing 100089,China

出　　处：《Journal of Systems Engineering and Electronics》2024年第4期805-814,共10页系统工程与电子技术（英文版）

基　　金：This work was supported by the National Key Research and Development Program of China(2021YFB2900600);the National Natural Science Foundation of China(61971041;62001027);the Beijing Natural Science Foundation(M22001);the Technological Innovation Program of Beijing Institute of Technology(2022CX01027).

摘　　要：By deploying the ubiquitous and reliable coverage of low Earth orbit(LEO)satellite networks using optical inter satel-lite link(OISL),computation offloading services can be provided for any users without proximal servers,while the resource limita-tion of both computation and storage on satellites is the impor-tant factor affecting the maximum task completion time.In this paper,we study a delay-optimal multi-satellite collaborative computation offloading scheme that allows satellites to actively migrate tasks among themselves by employing the high-speed OISLs,such that tasks with long queuing delay will be served as quickly as possible by utilizing idle computation resources in the neighborhood.To satisfy the delay requirement of delay-sensi-tive task,we first propose a deadline-aware task scheduling scheme in which a priority model is constructed to sort the order of tasks being served based on its deadline,and then a delay-optimal collaborative offloading scheme is derived such that the tasks which cannot be completed locally can be migrated to other idle satellites.Simulation results demonstrate the effective-ness of our multi-satellite collaborative computation offloading strategy in reducing task complement time and improving resource utilization of the LEO satellite network.

关 键 词：low Earth orbit(LEO)satellite network computation offloading task migration resource allocation 

分 类 号：TN927.2[电子电信—通信与信息系统]