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.
Intelligent reflecting surface enhan ced wireless network via joint active and passive beamforming,
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A CSI-induced self-graph plus LLM with task-specific heads optimizes segmented pinching antenna deployment and beamforming in ISAC systems to achieve a favorable communication-sensing tradeoff in simulations.
citing papers explorer
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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.
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Graph-Enhanced LLM for SWAN-ISAC
A CSI-induced self-graph plus LLM with task-specific heads optimizes segmented pinching antenna deployment and beamforming in ISAC systems to achieve a favorable communication-sensing tradeoff in simulations.