Quality of service enabled network slicing model in 5G and the next generation virtualized networks

Poovendren Govender, Kingsley A. Ogudo, Chabalala Chabalala

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The demand for high-speed connectivity has increased globally. The covid-19 pandemic, which forced global lockdown and directly led to most of the global workforce to telecommute, dramatically exacerbated the need for quality mobile connectivity and high data rates. The 5th generation of mobile communication technology (5G), with its ultra-low latency and high bandwidth capacity, becomes a natural fit to overhaul communication infrastructure to meet the connectivity demands. Key to 5G's performance is network slicing, which allows for the 5G network to be segmented into virtual networks that can be used to serve specific industry verticals. To assure Quality of Service (QoS), our paper proposes a model that creates network slices with respect to QoS requirements for various industry verticals. The proposed model is designed and evaluated using a software simulation technique, and the results obtained show that QoS-enabled network slicing guarantees improved performance in terms of throughput and loss in highly varying network conditions.

Original languageEnglish
Title of host publicationProceedings of 2021 IEEE AFRICON, AFRICON 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665419840
DOIs
Publication statusPublished - 13 Sept 2021
Event2021 IEEE AFRICON, AFRICON 2021 - Virtual, Arusha, Tanzania, United Republic of
Duration: 13 Sept 202115 Sept 2021

Publication series

NameIEEE AFRICON Conference
Volume2021-September
ISSN (Print)2153-0025
ISSN (Electronic)2153-0033

Conference

Conference2021 IEEE AFRICON, AFRICON 2021
Country/TerritoryTanzania, United Republic of
CityVirtual, Arusha
Period13/09/2115/09/21

Keywords

  • 5G
  • NaaS
  • Network Slicing
  • NFV
  • QoS
  • SDN

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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