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Network Slicing Strategies for Smart Industry Applications

Author(s)
Umagiliya, Thisuri  
Wijethilaka, Shalitha  
De Alwis, Chamitha  
Porambage, Pawani  
Liyanage, Madhusanka  
Uri
http://hdl.handle.net/10197/25939
Date Issued
2021-12-17
Date Available
2024-05-13T16:05:54Z
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.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Academy of Finland in 6Genesis
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2021 IEEE
Subjects

Network slicing

5G

L5GO

MNO

Smart industry

DOI
10.1109/CSCN53733.2021.9686109
Language
English
Status of Item
Peer reviewed
Journal
2021 IEEE Conference on Standards for Communications and Networking (CSCN), Proceedings
ISBN
978-1-6654-2349-6
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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Name

IEEE_CSCN_2021___Slicing___Industry.pdf

Size

1.3 MB

Format

Adobe PDF

Checksum (MD5)

86740e15038455313a212863ac1fcb6d

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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