Online Trainable Wireless Link Quality Prediction System using Camera Imagery

@article{Itahara2020OnlineTW,
  title={Online Trainable Wireless Link Quality Prediction System using Camera Imagery},
  author={Sohei Itahara and T. Nishio and M. Morikura and Koji Yamamoto},
  journal={2020 IEEE Globecom Workshops (GC Wkshps},
  year={2020},
  pages={1-6}
}
Machine-learning-based prediction of future wireless link quality is an emerging technique that can potentially improve the reliability of wireless communications, especially at higher frequencies (e.g., millimeter-wave and terahertz technologies), through predictive handover and beamforming to solve line-of-sight (LOS) blockage problem. In this study, a real-time online trainable wireless link quality prediction system was proposed; the system was implemented with commercially available… Expand

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