Convolutional Neural Networks for Flexible Payload Management in VHTS Systems

Very high throughput satellite (VHTS) systems are expected to have a large increase in traffic demand in the near future. However, this increase will not be uniform throughout the service area due to the nonuniform user distribution, and the changing traffic demand during the day. This problem is ad...

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Veröffentlicht in:	IEEE systems journal 2021-09, Vol.15 (3), p.4675-4686
Hauptverfasser:	Ortiz-Gomez, Flor G., Tarchi, Daniele, Martinez, Ramon, Vanelli-Coralli, Alessandro, Salas-Natera, Miguel A., Landeros-Ayala, Salvador
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Bandwidth Bandwidth allocation beamwidth allocation convolutional neural network (CNN) deep learning (DL) Demand dynamic resource management (DRM) Dynamic scheduling flexible payload Heuristic algorithms machine learning (ML) Neural networks Payloads power allocation Resource management Satellite broadcasting Satellites Service areas
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