Enabling RF Data Analytics Services and Applications via Cloudification Figure 6. Complexity of the LTE RBs. Figure 7. Variations of the received power (with interference). 52 working in this area but also to society. Achieving high-speed transmission of information is the main objective in the development and design of advanced radio communication systems and networks. To meet these challenges, the new generations of mobile cellular networks use ever wider frequency channel bandwidths in the ranges of conventional networks from older generation, higher power, new higher microwave frequency bands, or introduce the densification approach by introducing novel types of microcells. Therefore, in recent years, the society is seriously concerned by the rise of electromagnetic emissions (EME) and general background noise (GBN). Uncontrolled EME and GBN can not only degrade the quality of a connection and make parts of the spectrum unusable but also could impose health concerns. This necessitates constant monitoring and analysis in the general trends in the change of the EME and GBN that can be done via the implementation of proper RF data analytic platforms. Since the introduction of GSM in 1990 to the present day, every 10 years appears a new generation of mobile networks. Organizations, such as Mobile and Wireless Communications Enablers for the Twenty-twenty (2020) Information Society and 5G Public-Private Partnership, have the ambition in 2020 to run the first test network of 5th generation. The telecom industry also expects that many existing and new radio services may be affected IEEE A&E SYSTEMS MAGAZINE MAY - JUNE 2018