Knowledge functional block for E-UTRAN

Large availability of digital data, or else Big Data, offers to data scientists the chance of exploiting them and building knowledge on different aspects of everyday life related to e.g., people preferences and habits, transportation, health systems, telecommunications etc. This study targets to exploit this opportunity in the telecommunications era. Towards this direction, the paper presents the architectural aspects, the role and the foundation of the functionalities of the knowledge functional block. Knowledge functional block comprises of knowledge building mechanisms that learn different aspects of future wireless networks in order to enhance their decisions and thus their functionality. These aspects may involve context, efficiency of the decisions, energy efficiency, trust and others. Data that can be directly monitored from an Evolved Universal Terrestrial Radio Access Network (E-UTRAN) are identified and modeled to guide the input that can be used for the knowledge building mechanisms of the block.