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基于移动边缘计算的空天地一体化网络架构

吴健 贾敏 郭庆

天地一体化信息网络2024,Vol.5Issue(1):24-31,8.
天地一体化信息网络2024,Vol.5Issue(1):24-31,8.DOI:10.11959/j.issn.2096-8930.2024003

基于移动边缘计算的空天地一体化网络架构

Space-Air-Ground Integrated Network Architecture Based on Mobile Edge Computing

吴健 1贾敏 1郭庆1

作者信息

  • 1. 哈尔滨工业大学电子与信息工程学院,黑龙江 哈尔滨 150006
  • 折叠

摘要

Abstract

The next generation of wireless communication technologies will enhance the quality of user experience by supporting ser-vices such as intelligent transportation,intelligent healthcare,virtual/augmented reality,and more.These emerging services are typically computation-intensive and delay-sensitive,and must meet stringent delay,energy consumption,and reliability requirements that cloud-based services struggle to meet.In order to solve the above problems,mobile edge computing(MEC)technology was proposed to solve the problems of high latency and high bandwidth consumption when sending offloading requests back to the cloud computing centers.As an important research direction of 6G,space-air-ground integrated network(SAGIN)could make up for the huge coverage gap in the world,and had been widely concerned.This paper introduced MEC technology,federated learning technology and artificial intelligence technology into SAGIN to efficiently manage massive and heterogeneous resources in the network,and builded low-delay,low-energy consumption and high-reliability SAGIN to support various emerging services.

关键词

6G/空天地一体化网络/移动边缘计算/联邦学习/人工智能

Key words

6G/space-air-ground integrated network/mobile edge computing/federated learning/artificial intelligence

分类

信息技术与安全科学

引用本文复制引用

吴健,贾敏,郭庆..基于移动边缘计算的空天地一体化网络架构[J].天地一体化信息网络,2024,5(1):24-31,8.

基金项目

国家自然科学基金资助项目(No.62231012) (No.62231012)

国家重点研发计划资助项目(No.2021YFB2900500) (No.2021YFB2900500)

黑龙江省优秀青年自然科学基金资助项目(No.YQ2020F001)The National Natural Science Foundation of China(No.62231012),National Key Research and Development Program of China(No.2021YFB2900500),The Natural Science Foundation for Outstanding Young Scholars of Heilongjiang Province(No.YQ2020F001) (No.YQ2020F001)

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