User Group Behavioural Pattern in a Cellular Mobile Network for 5G Use-cases

Abstract

comes to user needs, 3G and 4G cellular mobile systems cover the mass needs for mobile broadband quite successfully. Answering the demands of critical IoT (Internet of Things), and mass IoT application users – beside lifting mobile broadband to the next level – remains the challenge for 5G. While generic, high level targets for KPIs are widely communicated, it is not yet well-understood how the various demands can affect the traffic mixture. Both the radio- and the core-domains of the cellular network have to cope with traffic peaks, and have to obey various QoS (Quality of Service) guarantees. In order to do this, traffic-related characteristics should be determined, and this knowledge should be used during network planning, optimization and service shaping.This paper aims to provide insights to user behavioral patterns for these three key application areas: mobile broadband, critical IoT and mass IoT. Since traffic volume- and burst-related user behaviour is not expected to change suddenly, current, targeted data collection on 4G links would provide a good basic insight for future, 5G usage – at least as traffic patterns. We collected live 4G network data then analyzed throughout this paper in order to show traffic patterns – and their distinguishing features – for the three key 5G application areas.