The development of communication systems is based on the effective availability of radio resources. In the coming years we will see an important commercial push that will make the radio resource one of the primary assets in the technological development of a country. The application of machine learning algorithms in this specific area could significantly improve the efficiency of use of the radio spectrum with important benefits for both end users and WISPs.

Some important steps forward have been made in the academic environment on the possible interactions of the world of AI with that of TLC but still large unexplored grasslands stand out before the eyes of researchers. Which machine learning methodologies are best suited to the selection of the radio resource? Is it possible to apply Data Analytics study to the evaluation of the radio channel in a defined geographical area? Is it possible and is it efficient to activate AI methodologies to select the best server in a certain area? These are some of the questions that are posed to the scientific community.