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Michael Segal

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#machine learning Preprint Sep 2026

MANET-GNN: Learned Decentralized Optimization of Power Allocation in Multi-Channel MANETs

MANETs enable flexible infrastructure-less wireless connectivity in dynamic and resource-constrained environments. As modern MANETs exploit multiple frequency channels and support heterogeneous traffic patterns, decentralized transmit-power allocation becomes increasingly challenging. We develop a unified learned optim...

Tomer Alter, Nir Shlezinger, Michael Segal · 0 citations

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