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A Realizable and Efficient Approach for Building Software Defined Satellite Network

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Communications and Networking (ChinaCom 2017)

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Abstract

As a part of the 10 key enabling technologies for 5G, SDN and NFV bring great influence and inspiration to satellite network architecture. SDN/NFV-enabled satellite network building method in transparent satellite system has been researched; however less attention has been paid to the regenerative process satellite system. In addition, satellite system is a typical restricted system, the theoretical research results and successful technology solutions of the ground network are difficult to be applied directly to the satellite system. In this paper, we study how to build a software defined satellite network based on regenerative process satellite system, how to support the software definition of satellite nodes, and put forward a realizable and efficient approach for building software defined satellite network, on this basis, the application scenario of the software definition satellite network is prospected.

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Authors and Affiliations

  1. China Academy of Space Technology, No. 504, East Chang’an Road, Xi’an, People’s Republic of China

    Wei Ma, Leifang Hui, Hanwen Sun & Zhe Zhao

Authors
  1. Wei Ma
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  2. Leifang Hui
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  3. Hanwen Sun
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  4. Zhe Zhao
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Corresponding author

Correspondence to Wei Ma .

Editor information

Editors and Affiliations

  1. Northwestern Polytechnical University, Xi’an, China

    Bo Li

  2. Guangdong Pharmaceutical University, Guangzhou, China

    Lei Shu

  3. China University of Geosciences, Wuhan, Hubei, China

    Deze Zeng

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Ma, W., Hui, L., Sun, H., Zhao, Z. (2018). A Realizable and Efficient Approach for Building Software Defined Satellite Network. In: Li, B., Shu, L., Zeng, D. (eds) Communications and Networking. ChinaCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 236. Springer, Cham. https://doi.org/10.1007/978-3-319-78130-3_44

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  • DOI: https://doi.org/10.1007/978-3-319-78130-3_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78129-7

  • Online ISBN: 978-3-319-78130-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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