DRL solves a time-division joint SAR and secure communication problem to maximize worst-case secrecy rate by tracking eavesdroppers with cognitive SAR ATI and adapting beamforming plus jamming, outperforming equal-aperture and random baselines in simulations.
Joint bi-static radar and communications designs for intelligent transportation,
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Deep Reinforcement Learning for Cognitive Time-Division Joint SAR and Secure Communications
DRL solves a time-division joint SAR and secure communication problem to maximize worst-case secrecy rate by tracking eavesdroppers with cognitive SAR ATI and adapting beamforming plus jamming, outperforming equal-aperture and random baselines in simulations.