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.
Cell-free ISAC MIMO systems: Joint sensing and communication beamforming
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
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
-
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.
-
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.