Artificial Intelligence for Satellite Communication and Non-Terrestrial Networks: A Survey

Authors:
  • GFG. Fontanesi
    G. Fontanesi
  • FOF. Ortíz
    F. Ortíz
  • ELE. Lagunas
    E. Lagunas
  • VBV. Monzon Baeza
    V. Monzon Baeza
  • MVM. Á. Vázquez
    M. Á. Vázquez
  • JVJ. A. Vásquez-Peralvo
    J. A. Vásquez-Peralvo
  • MMM. Minardi
    M. Minardi
  • HVH. N. Vu
    H. N. Vu
  • PHP. J. Honnaiah
    P. J. Honnaiah
  • CLC. Lacoste
    C. Lacoste
  • YDY. Drif
    Y. Drif
  • TAT. S. Abdu
    T. S. Abdu
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Abstract
This paper surveys the application and development of Artificial Intelligence (AI) in Satellite Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a comprehensive list of use cases, the relative challenges and the main AI tools capable of addressing those challenges. For each use case, we present the main motivation, a system description, the available non-AI solutions and the potential benefits and available works using AI. We also discuss the pros and cons of an on-board and on-ground AI-based architecture, and we revise the current commercial and research activities relevant to this topic. Next, we describe the state-of-the-art hardware solutions for developing ML in real satellite systems. Finally, we discuss the long-term developments of AI in the SatCom and NTN sectors and potential research directions. This paper provides a comprehensive and up-to-date overview of the opportunities and challenges offered by AI to improve the performance and efficiency of NTNs.
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