Artificial Intelligence for Satellite Communication: A Survey

  • Gianluca Fontanesi*
  • , Flor Ortíz
  • , Eva Lagunas
  • , Luis Manuel Garcés-Socarrás
  • , Victor Monzon Baeza
  • , Miguel Ángel Vázquez
  • , Juan Andrés Vásquez-Peralvo
  • , Mario Minardi
  • , Ha Nguyen Vu
  • , Puneeth Jubba Honnaiah
  • , Clement Lacoste
  • , Youssouf Drif
  • , Liz Martinez Marrero
  • , Saed Daoud
  • , Tedros Salih Abdu
  • , Geoffrey Eappen
  • , Junaid Ur Rehman
  • , Wallace Alves Martins
  • , Pol Henarejos
  • , Hayder Al-Hraishawi
  • Juan Carlos Merlano Duncan, Thang X. Vu, Symeon Chatzinotas
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus 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.

Original languageEnglish
Pages (from-to)1381-1435
Number of pages55
JournalIEEE Communications Surveys and Tutorials
Volume28
DOIs
StatePublished - 2026

Bibliographical note

Publisher Copyright:
© 1998-2012 IEEE.

Keywords

  • Satellite communication
  • artificial intelligence
  • machine learning
  • non-terrestrial networks

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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