Artificial Intelligence for Satellite Communication: A Survey

This paper provides a comprehensive survey on the application and development of Artificial Intelligence (AI) and Machine Learning (ML) in satellite communication (SATCOM). It explores the increasing integration of AI/ML technologies in SATCOM systems, highlighting their potential to enhance perform...

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Detalhes bibliográficos
Autores: Fontanesi, G, Ortíz, F, Lagunas, E, Garcés-Socarrás, LM, Baeza, VM, Vázquez, MA, Vásquez-Peralvo, JA, Minardi, M, Vu, HN, Honnaiah, PJ, Lacoste, C, Drif, Y, Marrero, LM, Daoud, S, Abdu, TS, Eappen, G, Rehman, JU, Martins, WA, Henarejos, P, Al-Hraishawi, H, Duncan, JCM, Vu, TX, Chatzinotas, S
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2026
País:España
Recursos:Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Repositorio:r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
OAI Identifier:oai:cttc.fundanetsuite.com:p8904
Acesso em linha:https://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=8904
Access Level:acceso abierto
Palavra-chave:Satellite communication
machine learning
arti-ficial intelligence
non-terrestrial networks
Descrição
Resumo:This paper provides a comprehensive survey on the application and development of Artificial Intelligence (AI) and Machine Learning (ML) in satellite communication (SATCOM). It explores the increasing integration of AI/ML technologies in SATCOM systems, highlighting their potential to enhance performance, efficiency, and adaptability in response to growing demands for connectivity and data processing. The survey categorizes various use cases across different layers of satellite networks, detailing conventional solutions and the advantages of employing AI/ML techniques. It discusses the challenges associated with onboard processing, including hardware constraints, radiation tolerance, and the need for efficient resource management. Furthermore, the document examines the role of neuromorphic computing and COTS (Commercial Off-The-Shelf) devices in facilitating AI applications in space environments. Finally, we discuss the long-term developments of AI in the SATCOM sector and potential research directions. Overall, the survey emphasizes the transformative impact of AI/ML on the future of SATCOM, paving the way for innovative solutions in next-generation satellite networks.

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