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.
Technical specification group radio access network; Study on artificial intelligence (AI)/machine lea rning (ML) for NR air interface,
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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.