Beam Prediction for Mobile Users in mmWave Communications

Prof. Kuang-Hao Liu (Institute of Commucations Engineering, National Tsing Hua University)
The vast availability of Millimeter wave (mmWave) spectrum holds the promise of data rates several tens of times faster than those of mid- and low-bands. However, a significant challenge of mmWave communication lies in the severe propagation loss, necessitating compensation through directional beamforming. Accurate beamforming becomes particularly challenging in scenarios involving user movement. This talk begins by elucidating the fundamental principle of beam alignment, outlining its importance in mmWave communication systems. Subsequently, it introduces a novel approach that harnesses the predictive capability of machine learning (ML) models to achieve high beam alignment accuracy. Through this innovative method, the talk aims to address the challenges posed by user mobility in mmWave communication systems.
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