Future 50 Years of Mobile Radio Propagation Research

This paper overviews the latest developments in mobile radio propagation research and presents our views looking to the future. Radio propagation research has high affinity to machine learning such as deep learning since it can deal with copious amounts of measurement data. Deep learning is useful for image recognition and can be applied to modeling of building materials. This modeling achieved through the analysis of building images is needed for radio propagation simulations. Therefore, we believe that the application of deep learning to mobile radio propagation research will emerge as a main topic in the future.