A graph neural network and reinforcement learning assign beamforming vectors to wireless network topologies, automatically producing interference alignment schemes and a few new subspace alignment examples.
Learning to code on graphs for topological interference management,
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Revisiting Topological Interference Management: A Learning-to-Code on Graphs Perspective
A graph neural network and reinforcement learning assign beamforming vectors to wireless network topologies, automatically producing interference alignment schemes and a few new subspace alignment examples.