About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Mobile Multimedia Communications. 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings

Research Article

Key Technologies of Space-Air-Ground Integrated Network: A Comprehensive Review

Download(Requires a free EAI acccount)
4 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-89814-4_5,
        author={Chuanfeng Wei and Yuan Zhang and Ruyan Wang and Dapeng Wu and Zhidu Li},
        title={Key Technologies of Space-Air-Ground Integrated Network: A Comprehensive Review},
        proceedings={Mobile Multimedia Communications. 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings},
        proceedings_a={MOBIMEDIA},
        year={2021},
        month={11},
        keywords={Space-air-ground integrated network Software defined network Mobile edge computing Network slicing Deep reinforcement learning},
        doi={10.1007/978-3-030-89814-4_5}
    }
    
  • Chuanfeng Wei
    Yuan Zhang
    Ruyan Wang
    Dapeng Wu
    Zhidu Li
    Year: 2021
    Key Technologies of Space-Air-Ground Integrated Network: A Comprehensive Review
    MOBIMEDIA
    Springer
    DOI: 10.1007/978-3-030-89814-4_5
Chuanfeng Wei1, Yuan Zhang2, Ruyan Wang2, Dapeng Wu2, Zhidu Li2
  • 1: Macro Net Communication Co., Ltd.
  • 2: School of Communication and Information Engineering

Abstract

Facing the urgent needs of wide area intelligent network and global random access, the independent development of terrestrial cellular communication system and satellite communication system will face great challenges in the future. Space-air-ground integrated network is considered to be potential in integrating the space-based network and terrestrial network to realize unified and efficient resource scheduling and network management. In this paper, the architecture, functional requirements, challenges and key technologies of the space-air-ground integrated network are reviewed. It is expected that the paper is able to provide insightful guidelines on the research of the space-air-ground integrated network.

Keywords
Space-air-ground integrated network Software defined network Mobile edge computing Network slicing Deep reinforcement learning
Published
2021-11-02
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-89814-4_5
Copyright © 2021–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL