A gradient-inspired graph neural network with two projection modules learns holographic MIMO beamformers, achieving higher spectral efficiency than alternating optimization with much lower inference latency.
Reconfig- urable holographic surface-enabled multi-user wireless communications: Amplitude-controlled holographic beamforming,
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Learning-based Multiuser Beamforming for Holographic MIMO~Systems
A gradient-inspired graph neural network with two projection modules learns holographic MIMO beamformers, achieving higher spectral efficiency than alternating optimization with much lower inference latency.