A state-augmented GNN scheduler, which feeds Lagrangian dual variables to the policy, learns to meet per-link minimum transmission quotas while maximizing average throughput in grid network simulations.
FPLinQ: A cooperative spectrum sharing strategy for device-to-device communications,
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Wireless Link Scheduling with State-Augmented Graph Neural Networks
A state-augmented GNN scheduler, which feeds Lagrangian dual variables to the policy, learns to meet per-link minimum transmission quotas while maximizing average throughput in grid network simulations.