A GNN that sets per-link contention thresholds can reduce scheduling overhead in dense wireless networks while preserving total utility, across four distributed schedulers.
Toward massive machine type commu- nications in ultra-dense cellular IoT networks: Current issues and ma- chine learning-assisted solutions,
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Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks (Journal Version)
A GNN that sets per-link contention thresholds can reduce scheduling overhead in dense wireless networks while preserving total utility, across four distributed schedulers.