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

Authors :
Fontanesi, G.
Ortíz, F.
Lagunas, E.
Baeza, V. Monzon
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.
Duncan, J. C. Merlano
Vu, T. X.
Chatzinotas, S.
Publication Year :
2023

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.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....ef6254e9901321e92c3f20c1741d5ce8