User Group Behavioural Pattern in a Cellular Mobile Network for 5G Use-cases
| Autor: | Gabor Soos, Pal Varga, Daniel Ficzere |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Service (systems architecture)
Computer science business.industry Quality of service Mobile broadband 05 social sciences Behavioral pattern 050801 communication & media studies 020206 networking & telecommunications 02 engineering and technology Network planning and design 0508 media and communications 0202 electrical engineering electronic engineering information engineering Cellular network Performance indicator business 5G Computer network |
| Zdroj: | NOMS |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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