Link Scheduling in Satellite Networks via Machine Learning Over Riemannian Manifolds

Low Earth Orbit (LEO) satellites play a crucial role in enhancing global connectivity, serving a complementary solution to existing terrestrial systems. In wireless networks, scheduling is a vital process that allocates time-frequency resources to users for interference management. However, LEO sate...

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Detalles Bibliográficos

Principais autores:	Joarder Jafor Sadique, Imtiaz Nasim, Ahmed S. Ibrahim
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2025-01-01
Series:	IEEE Open Journal of the Communications Society
Assuntos:	Convolutional neural network LEO satellite link scheduling recurrent neural network Riemannian geometry symmetric positive definite matrices
Acceso en liña:	https://ieeexplore.ieee.org/document/10851312/
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