What can Machine Learning do for Radio Spectrum Management?

The opening of the unlicensed radio spectrum creates new opportunities and new challenges for communication technology that can be faced by Machine Learning techniques. In this work, we discuss the potential bene ts and the challenges with reference to the recent research developments in this area. Applications go from channel estimation to Signal quality control, and from signal classi cation to action control. We survey Machine learning and Deep Learning algorithms with possible radio applications, and highlight the corresponding challenges.