A staged graph neural network jointly learns pinching-antenna positions and transmit beamforming, and the authors report it outperforms a heuristic baseline in simulated pinching-antenna systems.
Learning to optimize: training deep neural networks for interference management,
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GPASS: Deep Learning for Beamforming in Pinching-Antenna Systems (PASS)
A staged graph neural network jointly learns pinching-antenna positions and transmit beamforming, and the authors report it outperforms a heuristic baseline in simulated pinching-antenna systems.