LEO卫星网络中MEC服务管理与任务迁移优化方法

刘志慧; 尉欢; 殷杰; 王俊义; 金世超; 董涛

doi:10.11959/j.issn.2096-8930.2022034

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LEO卫星网络中MEC服务管理与任务迁移优化方法

专题：天地融合软件定义网络 | 更新时间：2024-06-03

- LEO卫星网络中MEC服务管理与任务迁移优化方法
- Management of MEC Service and Optimization of Mission Migration in LEO Satellite Networks
- 天地一体化信息网络 2022年3卷第3期页码：72-80
- 作者机构：
  
  1. 航天恒星科技有限公司天地一体化信息技术国家重点实验室，北京 100095
  2. 桂林电子科技大学信息与通信学院，广西桂林 541004
- 作者简介：
  
  [ "刘志慧（1989-），女，博士，高级工程师，主要研究方向为空间网络资源管控、认知无线网络资源配置、卫星任务规划" ]
  [ "尉欢（1996-），女，桂林电子科技大学信息与通信学院硕士生，主要研究方向为卫星网络资源优化、卫星任务规划" ]
  [ "殷杰（1983-），男，博士，研究员，主要研究方向为空间宽带网络、空间光通信、微波光子" ]
  [ "王俊义（1978-），男，博士，研究员，博士生导师，主要研究方向为移动边缘计算、网络资源管控、图信号处理" ]
  [ "金世超（1980-），男，博士，研究员，主要研究方向为空间通信与网络" ]
  [ "董涛（1975-），男，博士，研究员，博士生导师，主要研究方向为空间光通信与空间网络" ]
- 基金信息：
  
  国家重点研发计划资助项目;National Key Research and Development Program(2021YFB2900604)
- DOI：10.11959/j.issn.2096-8930.2022034
  中图分类号： TP393
- 网络出版日期：2022-09，
  
  纸质出版日期：2022-09-20
- 稿件说明：
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刘志慧, 尉欢, 殷杰, 等. LEO卫星网络中MEC服务管理与任务迁移优化方法[J]. 天地一体化信息网络, 2022,3(3):72-80.

Zhihui LIU, Huan WEI, Jie YIN, et al. Management of MEC Service and Optimization of Mission Migration in LEO Satellite Networks[J]. Space-integrated-ground information networks, 2022, 3(3): 72-80.
刘志慧, 尉欢, 殷杰, 等. LEO卫星网络中MEC服务管理与任务迁移优化方法[J]. 天地一体化信息网络, 2022,3(3):72-80. DOI： 10.11959/j.issn.2096-8930.2022034.

Zhihui LIU, Huan WEI, Jie YIN, et al. Management of MEC Service and Optimization of Mission Migration in LEO Satellite Networks[J]. Space-integrated-ground information networks, 2022, 3(3): 72-80. DOI： 10.11959/j.issn.2096-8930.2022034.

摘要

低地球轨道（Low Earth Orbit

LEO）卫星因具有传输时延短、部署成本低等优势，在对地观测、广域覆盖的通信中发挥重要作用。由于LEO卫星平台体积和重量限制，每个LEO卫星节点的功能相对单一，需要多种功能的LEO卫星节点间高效协同，形成功能分散、能力聚合的高性能卫星网络。这对网络的服务管理提出了一定的要求。针对遥感观测卫星向部署有移动边缘计算（Mobile Edge Computing

MEC）服务的LEO卫星星座迁移观测任务数据的协作场景，研究LEO卫星网络中基于软件定义网络的MEC服务管理模型，提出结合时间扩展图思想的跨时隙任务迁移优化方法。仿真结果表明该方法能有效地降低观测卫星处理任务的成本，并可为部署MEC服务器的LEO卫星网络提供管理模型。

Abstract

Low earth orbit (LEO) satellites play an important role in the communication of earth observation and wide area coverage because of their advantages of short transmission delay and low deployment cost.Due to limited size and weight of LEO satellite platform

the function of each LEO satellite node is relatively single

which requires effi cient collaboration among various LEO satellite nodes to form a high-performance satellite network with decentralized functions and converged capabilities.It puts forward certain requirements for network service management.Aiming at the cooperative scenario that remote sensing satellites migrate observated task data to LEO satellite constellation with mobile edge computing (MEC) service deployed

the MEC service management model based on software defi ned network in LEO satellite networks was studied

a cross-slot task migration optimization method with the aid of time extended graph was proposed.The simulation results showed that the task migration optimization method could eff ectively reduced the cost of observation satellite processing tasks.And it could off ered the management model for LEO satellite networks that deployed MEC servers.

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references

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