Link Scheduling in Satellite Networks via Machine Learning Over Riemannian Manifolds

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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Bibliographic Details
Main Authors: Joarder Jafor Sadique, Imtiaz Nasim, Ahmed S. Ibrahim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Convolutional neural network
LEO satellite
link scheduling
recurrent neural network
Riemannian geometry
symmetric positive definite matrices
Online Access:https://ieeexplore.ieee.org/document/10851312/
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