Quality-prediction Technology for Optimal Use of Multiple Wireless Access Networks
Keisuke Wakao, Kenichi Kawamura, Takatsune Moriyama · NTT technical review · 2020
Amid changes brought on by digitalization, wireless communications for connecting people and things are increasing in importance while available frequency bands and wireless access standards are becoming increasingly diversified.At the same time, the quality of wireless communications can change from moment to moment depending on user conditions, so there are times when the user has to consciously select the most appropriate means of wireless access.Against this background, our goal is to achieve a world in which wireless communications can be automatically and naturally used without a person or thing having to select and connect to a wireless access network.To this end, we are developing technology for proactively controlling the wireless environment based on wireless-quality-prediction technology using machine learning.