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Applications of Deep Learning in Satellite Communication: A Survey

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Space Information Networks (SINC 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2057))

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Abstract

Satellite communication is a key aspect of future 6G networks, and the impact of artificial intelligence technology utilizing deep learning on satellite communications has garnered significant interest. This paper outlines the current research status of deep learning applications in satellite communication from the perspective of the physical layer, data link layer, and network layer. It also examines the limitations of deep learning in satellite communication applications and anticipates potential research directions for the future.

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Author information

Authors and Affiliations

  1. School of Systems Science and Engineering, Sun Yat-Sen University, Guangzhou, 100876, China

    Yuanzhi He, Biao Sheng & Xiang Chen

  2. Institute of Systems Engineering, Academy of Military Sciences, Beijing, 100141, China

    Yuanzhi He, Yuan Li & Changxu Wang

  3. China Coast Guard, Beijing, 100141, China

    Jinchao Liu

Authors
  1. Yuanzhi He
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  2. Biao Sheng
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  3. Yuan Li
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  4. Changxu Wang
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  5. Xiang Chen
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  6. Jinchao Liu
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Correspondence to Yuanzhi He .

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Editors and Affiliations

  1. Institute of China Electronic Equipment System Engineering Corporation, Beijing, China

    Quan Yu

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He, Y., Sheng, B., Li, Y., Wang, C., Chen, X., Liu, J. (2024). Applications of Deep Learning in Satellite Communication: A Survey. In: Yu, Q. (eds) Space Information Networks. SINC 2023. Communications in Computer and Information Science, vol 2057. Springer, Singapore. https://doi.org/10.1007/978-981-97-1568-8_3

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  • DOI: https://doi.org/10.1007/978-981-97-1568-8_3

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  • Print ISBN: 978-981-97-1567-1

  • Online ISBN: 978-981-97-1568-8

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