Big Data Architecture for Mobile Network Operators

Abstract

Mobile network operators are faced with tremendous data growth in their networks. Complex and multilayered networks, high-quality signal demands, and strong competition are only some of the aspects that push operators to further optimize their networks. Also, introduction of 5G in their networks enabled mobile operators to offer broad spectrum of 5G services, especially IoT (Internet of Things) and M2M (Machine to Machine) services which further increase traffic volume and the amount of collected data. Traditional data management solutions currently used are not able to successfully respond to such huge amounts of data. Big data technologies represent a modern approach for coping with the enormous data quantities. In this paper, we propose a big data solution that can collect and process huge amounts of data to extract valuable information and help mobile operators to bring their networks to enhanced quality level and offer full IoT solutions to their customers.