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

G. Fontanesi; F. Ortíz; E. Lagunas; V. Monzon Baeza; M. Á. Vázquez; J. A. Vásquez-Peralvo; M. Minardi; H. N. Vu; P. J. Honnaiah; C. Lacoste; Y. Drif; T. S. Abdu; G. Eappen; J. Rehman; L. M. Garcés-Socorrás; W. A. Martins; P. Henarejos; H. Al-Hraishawi; J. C. Merlano Duncan; T. X. Vu; S. Chatzinotas

arXiv · 2304.13008

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

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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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G. Fontanesi, F. Ortíz, E. Lagunas, V. Monzon Baeza, M. Á. Vázquez, J. A. Vásquez-Peralvo, M. Minardi, H. N. Vu, P. J. Honnaiah, C. Lacoste, Y. Drif, T. S. Abdu, G. Eappen, J. Rehman, L. M. Garcés-Socorrás, W. A. Martins, P. Henarejos, H. Al-Hraishawi, J. C. Merlano Duncan, T. X. Vu, S. Chatzinotas. 2023-04-25. Artificial Intelligence for Satellite Communication and Non-Terrestrial Networks: A Survey. https://arxiv.org/abs/2304.13008

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