A DDPG-based resource scheduler for UAV ISAC networks uses de-diffused semantic tokens from images, fused with radar data, to select RAT, power, and beams, reaching within 4% of a raw-image oracle in simulation.
Integrated sensing and communication with mmwave massive MIMO: A compressed sampling perspective,
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Vision-Aided ISAC in Low-Altitude Economy Networks via De-Diffused Visual Priors
A DDPG-based resource scheduler for UAV ISAC networks uses de-diffused semantic tokens from images, fused with radar data, to select RAT, power, and beams, reaching within 4% of a raw-image oracle in simulation.