A mutual-impedance-aware graph network that predicts fluid-antenna port layouts and precoders under current-domain constraints comes within about 0.7 bit/s/Hz of an iterative optimizer while cutting configuration latency from roughly 90 ms to about 3 ms.
Finite-blocklength fluid an- tenna systems with spatial block-correlation channel model,
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EM-Guided Graph Learning for Fluid Antenna Beamforming under Current-Domain Constraints
A mutual-impedance-aware graph network that predicts fluid-antenna port layouts and precoders under current-domain constraints comes within about 0.7 bit/s/Hz of an iterative optimizer while cutting configuration latency from roughly 90 ms to about 3 ms.