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Network slicing strategies for smart industry applications

  • Chamitha De Alwis
    ,
  • Thisuri Umagiliya
    ,
  • Shalitha Wijethilaka
    ,
  • Pawani Porambage
    ,
  • Madhusanka Liyanage
  • University of Moratuwa
    ,
  • University College Dublin
    ,
  • University of Oulu
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

The dawn of smart industries will utilize myriads of interconnected machines, devices, and sensors in factory environments to perform intelligent operations. This paradigm demands satisfying diverse communication requirements through strong network connectivity and services. Network Slicing (NS) in the fifth-generation (5G) and beyond networks is a pragmatic technology that can be utilized to satisfy the communication requirements of smart industries. This paper provides a comprehensive insight on how different NS strategies can be utilized to realize smart industry applications. Furthermore, we simulate a smart factory environment to evaluate the performance of different slicing strategies under two network statistics: band-width utilization and the number of connected clients, along with different base station arrangements.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 30-35 (6 pages)

Publication milestones

  • Published - 28/01/2022

Publication status

Published - 28/01/2022

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

Publication series

  • Publication series name: 2021 IEEE Conference on Standards for Communications and Networking, CSCN 2021

ISBN (Print)

9781665423496

ISBN (Electronic)

9781665423496

External Publication IDs

  • handle.net: 10547/625785
  • Scopus: 85125340042

Host publication title

2021 IEEE Conference on Standards for Communications and Networking, CSCN 2021

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