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On the Use of AI for Satellite Communications
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This document presents an initial approach to the investigation and development of artificial intelligence (AI) mechanisms in satellite communication (SatCom) systems. We first introduce the nowadays SatCom operations which are strongly dependent on the human intervention. Along with those use cases, we present an initial way of automatizing some of those tasks and we show the key AI tools capable of dealing with those challenges. Finally, the long term AI developments in the SatCom sector is discussed.
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Optimization of Link Configuration for Satellite Communication Using Reinforcement Learning
On a simplified three-link satellite transponder configuration task, simulated annealing outperforms the PPO reinforcement learning agent in both tested action spaces.
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