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.
Rapid optimization of superposition codes for multi-hop NOMA MANETs via deep unfolding,
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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.