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Confidence-Guided Adaptive Beam Selection for Vision-Aided Beam Tracking in mmWave Systems
Vision-aided beam tracking reduces mmWave beam-training overhead by predicting beam indices from camera observations. Fixed top-$K$ selection, however, assigns the same candidate beam budget to all predictions, ignoring uncertainty variations across samples and horizons. This letter proposes confide
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