LLM with self-graph representations predicts antenna deployment, partitioning, and beamforming for ISAC, achieving higher rates and stable policy transfer across user counts in simulations.
Deep learni ng-based beamforming optimization for ISAC systems: A low-complexi ty and transferable framework,
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LLM-enabled Antenna Partitioning and Beamforming Optimization for Segmented Pinching
LLM with self-graph representations predicts antenna deployment, partitioning, and beamforming for ISAC, achieving higher rates and stable policy transfer across user counts in simulations.