A state-augmented GNN power control policy, augmented with a dual-variable regression network for near-optimal initialization and dual-descent trajectory sampling, achieves faster ergodic feasibility and near-optimality in wireless networks.
ITLinQ+: An improved spectrum sharing mechanism for device-to-device communications,
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Fast State-Augmented Learning for Wireless Resource Allocation with Dual Variable Regression
A state-augmented GNN power control policy, augmented with a dual-variable regression network for near-optimal initialization and dual-descent trajectory sampling, achieves faster ergodic feasibility and near-optimality in wireless networks.