A hierarchical TD3-based DRL algorithm jointly optimizes infrequent 6DMA position/rotation and per-slot UAV direction plus base station beamforming to maximize UAV data rates while meeting sensing intensity requirements.
Integrated sensing and communications: Toward dual-functional wire- less networks for 6G and beyond
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DOLG amortizes non-convex joint optimization in THz CF-ISAC systems into a graph transformer-guided distributed RL policy that balances communication and sensing performance better than baselines in simulations.
An NP-based detector jointly using deterministic sensing and Gaussian information signals in UAV ISAC improves worst-case detection probability while meeting SINR constraints via SDR and SCA beamforming.
A robust beamforming optimization for coherent distributed ISAC maximizes expected KLD for target detection under statistical RCS and imperfect CSI, delivering up to 3 dB SCNR gains over conventional schemes while preserving per-user QoS.
citing papers explorer
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6DMA-Enabled ISAC for Low-Altitude Economy
A hierarchical TD3-based DRL algorithm jointly optimizes infrequent 6DMA position/rotation and per-slot UAV direction plus base station beamforming to maximize UAV data rates while meeting sensing intensity requirements.
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Distributed Optimization-Learning with Graph Transformers for Terahertz Cell-Free Integrated Sensing and Communication Systems
DOLG amortizes non-convex joint optimization in THz CF-ISAC systems into a graph transformer-guided distributed RL policy that balances communication and sensing performance better than baselines in simulations.
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Integrated Sensing and Communications for Low-Altitude Economy with Deterministic Sensing and Gaussian Information Signals
An NP-based detector jointly using deterministic sensing and Gaussian information signals in UAV ISAC improves worst-case detection probability while meeting SINR constraints via SDR and SCA beamforming.
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Robust Beamforming Design for Coherent Distributed ISAC with Statistical RCS and Phase Synchronization Uncertainty
A robust beamforming optimization for coherent distributed ISAC maximizes expected KLD for target detection under statistical RCS and imperfect CSI, delivering up to 3 dB SCNR gains over conventional schemes while preserving per-user QoS.