A segment-wise flow matching model learns continuous dynamics of beam power vectors conditioned on vision data to improve accuracy and slash inference latency in mmWave vehicle-to-infrastructure beam prediction.
BeamLLM: Vis ion- empowered mmwave beam prediction with large language model s
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AI and terahertz networks form a mutual symbiosis where each addresses the limitations of the other across hardware, physical layer, protocols, and services.
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Segment-Wise Flow Matching for Vision-Aided mmWave V2I Beam Prediction
A segment-wise flow matching model learns continuous dynamics of beam power vectors conditioned on vision data to improve accuracy and slash inference latency in mmWave vehicle-to-infrastructure beam prediction.
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When AI Meets Terahertz: A Survey on the Symbiosis of Artificial Intelligence and Terahertz Networks
AI and terahertz networks form a mutual symbiosis where each addresses the limitations of the other across hardware, physical layer, protocols, and services.