Machine Learning-Based Mobility-Aware Classification for Satellite Communication Systems
Keywords:
Satellite Communication, Machine Learning, Mobility Pattern Classification, Orbital Trajectory Prediction, Signal Optimization, Decision Trees, Support Vector Machines, Deep Learning, Adaptive Algorithms, Satellite Network Optimization.Abstract
Satellite communication plays a pivotal role in enabling global connectivity by transmitting data, voice,and multimedia content through satellites positioned in various orbital paths. These satellites, travelingat velocities between 7,000 and 28,000 km/h depending on their altitude, follow specific trajectoriessuch as geostationary, polar, and elliptical orbits. Each orbit allows the satellite
References
Zhan, X.; Ling, Z.; Xu, Z.; Guo, L.; Zhuang, S. Driving efficiency and risk management in finance through AI and RPA. Unique Endeavor Bus. Soc. Sci. 2024, 3, 189–197.
Manoharan, G.; Kumar, V.; Karthik, A.; Asha, V.; Mohan, C.R.; Nijhawan, G. IoT-Based Smart Inventory Management System Using Machine Learning Techniques. In Proceedings of the 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India, 9–10 May 2024; IEEE: Piscataway, NJ, USA, 2024; pp. 1–5


