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.
Integrated sensing and communications: Toward dual-func tional wire- less networks for 6G and beyond,
5 Pith papers cite this work. Polarity classification is still indexing.
fields
eess.SP 5verdicts
UNVERDICTED 5representative citing papers
A dual-power phase-coded pulse waveform for full-duplex ISAC eliminates blind range and improves long-range multi-target detection under residual self-interference compared to OFDM and LFM baselines.
Joint hybrid beamforming and trajectory optimization for multi-UAV cell-free multi-static ISAC achieves near fully-digital performance and avoids sum-rate degradation under limited power or strict sensing requirements.
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.
Extends 3GPP channel model for bistatic ISAC with extra clusters, deterministic or statistical targets, and spatial coherence in reflections, validated by ray tracing and experiments.
citing papers explorer
-
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.
-
Waveform Design for 6G ISAC Systems Under Full-Duplex Residual Self-Interference
A dual-power phase-coded pulse waveform for full-duplex ISAC eliminates blind range and improves long-range multi-target detection under residual self-interference compared to OFDM and LFM baselines.
-
Joint Hybrid Beamforming and Trajectory Design for Multi-UAV-Enabled Cell-Free Multi-Static ISAC
Joint hybrid beamforming and trajectory optimization for multi-UAV cell-free multi-static ISAC achieves near fully-digital performance and avoids sum-rate degradation under limited power or strict sensing requirements.
-
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.
-
Channel Modeling Framework for Both Communications and Bistatic Sensing Under 3GPP Standard
Extends 3GPP channel model for bistatic ISAC with extra clusters, deterministic or statistical targets, and spatial coherence in reflections, validated by ray tracing and experiments.