Sina Tavakolian

Knowledge Distillation for mmWave Beam Prediction Using Sub-6 GHz Channels

Beamforming in millimeter-wave (mmWave) high-mobility environments typically incurs substantial training overhead. While prior studies suggest that sub-6 GHz channels can be exploited to predict optimal mmWave beams, existing methods depend on large deep learning (DL) models with prohibitive computa…