An SSB-based sensing-assisted predictive robust beamforming framework is proposed for high-mobility UAV communications in LAWN that replaces CSI feedback with sensing-driven state estimation and uncertainty-aware optimization to maximize average network sum-rate.
Reference signal design an d power optimization for energy-efficient 5G V2X integrated sensin g and com- munications,
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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.
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SSB-Based Sensing-Assisted Robust Beamforming for High-Mobility UAV Communications in LAWN
An SSB-based sensing-assisted predictive robust beamforming framework is proposed for high-mobility UAV communications in LAWN that replaces CSI feedback with sensing-driven state estimation and uncertainty-aware optimization to maximize average network sum-rate.
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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.