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Trends, Advancements and Challenges in Intelligent Optimization in Satellite Communication

arXiv 2410.03674 ↗First posted 17 Sep 2024cs.NI cs.IT cs.LGcited by 0

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Abstract (arXiv)

Efficient satellite communications play an enormously important role in all of our daily lives. This includes the transmission of data for communication purposes, the operation of IoT applications or the provision of data for ground stations. More and more, AI-based methods are finding their way into these areas. This paper gives an overview of current research in the field of intelligent optimization of satellite communication. For this purpose, a text-mining based literature review was conducted and the identified papers were thematically clustered and analyzed. The identified clusters cover the main topics of routing, resource allocation and, load balancing. Through such a clustering of the literature in overarching topics, a structured analysis of the research papers was enabled, allowing the identification of latest technologies and approaches as well as research needs for intelligent optimization of satellite communication.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 85 references that are in the map. First posted on arXiv 17 Sep 2024.

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5 of 85 references.

References · 5

  1. 2020Satellite Communications in the New Space Era: A Survey and Future Challengescited by 36
  2. 2020CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Cloudscited by 7
  3. 2021Adapting to Dynamic LEO-B5G Systems: Meta-Critic Learning Based Efficient Resource Schedulingcited by 3
  4. 2021Deep Learning Aided Routing for Space-Air-Ground Integrated Networks Relying on Real Satellite, Flight, and Shipping Datacited by 3
  5. 2020Satellite Navigation for the Age of Autonomycited by 1

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