DATA MINING BASED FRAMEWORK PROPOSAL FOR 5G NETWORKS

Abstract

Smart cities are gaining, increasingly, notoriety. Through them, the population can have better services and urban quality of life. With the future fifth generation cellular (5G) networks will be possible to collect data from various sources throughout the city, such as sensors and actuators, mobile devices, mobile and telephone networks among others. In this scenario, it will be necessary to analyze large volumes of data, in order to get knowledge and useful information for a dynamic and clever planning. This article presents a data mining based framework proposal for 5G networks, named Urban Computing Framework in 5G Networks (CoUrbF5G). Real standards of a mobile network are found and analyzed in the proposal by applying data mining techniques along with ancillary methods on the conducting of Data Science processes, such as Knowledge Discovery in Databases (KDD) and Big Data.