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The document discusses the development of vision-assisted high-altitude platform stations (HAPS) for 6G wireless communications, focusing on millimeter-wave (mmWave) signaling. It highlights the use of machine learning techniques, particularly the YOLOv8 model, for beam management and selection to enhance spectral efficiency and reduce overhead in HAPS systems. The proposed framework aims to optimize communication by leveraging contextual information from user equipment detected by vision sensors on HAPS, m

Author

BAMS2014

Language

EN