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 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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Publication Details

Journal
IEEE Communications Surveys & Tutorials
Published
2025-02-13
DOI
https://doi.org/10.1109/comst.2025.3534617
Citations
18
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
89.88

Funders

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article

Artificial Intelligence for Satellite Communication: A Survey

Víctor Monzón Baeza, Clèment Lacoste, Symeon Chatzinotas, Tedros Salih Abdu et al.
18 citations
IEEE Communications Surveys & Tutorials
Satellite Communication Systems
89.88
article

Artificial Intelligence for Satellite Communication: A Survey

Víctor Monzón Baeza, Clèment Lacoste, Symeon Chatzinotas, Tedros Salih Abdu, Puneeth Jubba Honnaiah, Eva Lagunas, Youssouf Drif, Thang X. Vu, Saed Daoud, Hayder Al-Hraishawi, Juan A. Vásquez-Peralvo, Luis Manuel Garcés-Socarrás, Wallace A. Martins, Flor Ortíz, Vu Nguyen Ha, Gianluca Fontanesi, Junaid ur Rehman, Mario Minardi, Juan Carlos Merlano Duncán, Miguel Ángel Vázquez, Geoffrey Eappen, Liz Martínez Marrero, Pol Henarejos
article en
18 citations

Abstract

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.

IEEE Communications Surveys & TutorialsVol. 28
King Fahd University of Petroleum and Minerals (SA), University of Luxembourg (LU), University of South Florida (US), Centre Tecnologic de Telecomunicacions de Catalunya (ES), Nokia (Germany) (DE)
Université du Luxembourg, European Commission, Fonds National de la Recherche Luxembourg, Agencia Estatal de Investigación, H2020 Marie Skłodowska-Curie Actions
Openalex Percentile: Top 0%
Satellite Communication Systems
89.88
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