Paper
29 December 2023 Artificial intelligence in multibeam satellite communication systems: architecture and prospects
Haofei Li, Chen Chen, Chengbin Huang, Cong Li
Author Affiliations +
Proceedings Volume 12976, Eighth Asia Pacific Conference on Optics Manufacture and Third International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2023); 129760H (2023) https://doi.org/10.1117/12.3007197
Event: 8th Asia Pacific Conference on Optics Manufacture & 3rd International Forum of Young Scientists on Advanced Optical Manufacturing, 2023, Shenzhen, China
Abstract
With the development of 6G communication technology, satellite Internet will become an important means of achieving global network coverage and high-speed network transmission. The non-uniform distribution of ground equipment and the high-speed mobile characteristics of non-geostationary orbit (NGSO) satellites have created obstacles to the provision of services from satellites to the ground. Reasonable resource management in the multibeam satellite technology system can effectively guarantee that the service demand of ground users can be responded to in time and the resource utilisation rate of users can be improved as much as possible. In this paper, the multibeam satellite system is sorted out from the overall point of view. We also discuss the current work of Artificial Intelligence (AI) in the multibeam satellite processing process to illustrate the key role played by AI in it. Finally, we discuss potential open issues with the aim of providing some insights into the development of multibeam satellite communication systems and their application in AI techniques.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Haofei Li, Chen Chen, Chengbin Huang, and Cong Li "Artificial intelligence in multibeam satellite communication systems: architecture and prospects", Proc. SPIE 12976, Eighth Asia Pacific Conference on Optics Manufacture and Third International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2023), 129760H (29 December 2023); https://doi.org/10.1117/12.3007197
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KEYWORDS
Satellites

Artificial intelligence

Satellite communications

Deep learning

Machine learning

Mathematical optimization

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