MANET-GNN is a GNN-based method for decentralized multi-channel power optimization in MANETs that achieves high throughput via unsupervised training on network topology.
GROWS: improving decentralized resource allocation in wireless networks through graph neural networks,
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Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks
MANET-GNN is a GNN-based method for decentralized multi-channel power optimization in MANETs that achieves high throughput via unsupervised training on network topology.