An attention-based recurrent multi-agent RL method for cooperative 3D UAV positioning with fluid antennas is shown in simulation to reduce positioning error relative to two baselines.
Joint 3-D deployment and resource allocation for UA V-assisted integrated communication and localization,
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Transformer based Collaborative Reinforcement Learning for Fluid Antenna System (FAS)-enabled 3D UAV Positioning
An attention-based recurrent multi-agent RL method for cooperative 3D UAV positioning with fluid antennas is shown in simulation to reduce positioning error relative to two baselines.