Network slicing strategies for smart industry applications
Umagiliya, Thisuri; Wijethilaka, Shalitha; de Alwis, Chamitha; Porambage, Pawani; Liyanage, Madhusanka (2022-01-28)
T. Umagiliya, S. Wijethilaka, C. De Alwis, P. Porambage and M. Liyanage, "Network Slicing Strategies for Smart Industry Applications," 2021 IEEE Conference on Standards for Communications and Networking (CSCN), Thessaloniki, Greece, 2021, pp. 30-35, doi: 10.1109/CSCN53733.2021.9686109.
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
https://rightsstatements.org/vocab/InC/1.0/
https://urn.fi/URN:NBN:fi-fe2023041937630
Tiivistelmä
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.
Kokoelmat
- Avoin saatavuus [31646]