1. Artificial Intelligence for Satellite Communication and Non-Terrestrial Networks: A Survey
- Author
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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., and Chatzinotas, S.
- Subjects
Electrical Engineering and Systems Science - Signal Processing - 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.
- Published
- 2023