Knowledge distillation produces compact student models that match large teacher models in mmWave beam prediction accuracy from sub-6 GHz channels while cutting parameters and complexity by 99%.
The spatial correlation between channels in these bands enables the prediction of mmWave beams directly from sub-6 GHz channels [2]
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Knowledge Distillation for mmWave Beam Prediction Using Sub-6 GHz Channels
Knowledge distillation produces compact student models that match large teacher models in mmWave beam prediction accuracy from sub-6 GHz channels while cutting parameters and complexity by 99%.