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

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 eac...

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Bibliographic Details
Published in:arXiv.org 2023-04
Main Authors: Fontanesi, G, Ortíz, F, Lagunas, E, V Monzon Baeza, Vázquez, M Á, Vásquez-Peralvo, J A, Minardi, M, Vu, H N, Honnaiah, P J, Lacoste, C, Drif, Y, Abdu, T S, Eappen, G, Rehman, J, Garcés-Socorrás, L M, Martins, W A, Henarejos, P, Al-Hraishawi, H, Merlano Duncan, J C, Vu, T X, Chatzinotas, S
Format: Article
Language:English
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Summary: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.
ISSN:2331-8422