A new study has shown that deep learning can optimize the handover process for low Earth orbit (LEO) satellites. Handover is the process of transferring a satellite’s communication connection from one ground station to another as it moves across the sky. By using deep learning algorithms, researchers were able to improve the efficiency and reliability of this process, leading to faster and more seamless transitions between ground stations. This advancement could have significant implications for the growing number of LEO satellites in orbit, as it could help maximize their communication capabilities and minimize downtime. The study highlights the potential of artificial intelligence in improving the performance of satellite networks and ensuring continuous connectivity for satellite-based services.
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Source link: https://www.msn.com/en-gb/news/techandscience/deep-learning-optimizes-leo-satellite-handover/ar-BB1poJCl
Deep Learning Improves LEO Satellite Handover Efficiency #technology
