An end-to-end neural network jointly designs pilots, quantized feedback, movable-antenna positions, and precoding, achieving near-perfect-CSI sum rates with limited feedback in simulated MA downlink systems.
Movable antenna-aided secure full-duplex multi-user communications,
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A Deep Learning Framework for Joint Channel Acquisition and Communication Optimization in Movable Antenna Systems
An end-to-end neural network jointly designs pilots, quantized feedback, movable-antenna positions, and precoding, achieving near-perfect-CSI sum rates with limited feedback in simulated MA downlink systems.