A two-stage GNN jointly infers fluid antenna positions and beamforming vectors, trained unsupervisedly to maximize sum rate or energy efficiency in MU-MISO systems.
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Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach
A two-stage GNN jointly infers fluid antenna positions and beamforming vectors, trained unsupervisedly to maximize sum rate or energy efficiency in MU-MISO systems.