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.
Network slicing strategies for smart industry applications
|Author:||Umagiliya, Thisuri1; Wijethilaka, Shalitha2; de Alwis, Chamitha3;|
1Department of Electronic and Telecommunication Engineering, University of Moratuwa, Sri Lanka
2School of Computer Science, University College Dublin, Ireland
3Department of Electrical and Electronic Engineering, University of Sri Jayewardenepura, Sri Lanka
4Centre for Wireless Communications, University of Oulu, Finland
|Online Access:||PDF Full Text (PDF, 1.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2023041937630
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2023-04-19
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.
|Pages:||30 - 35|
IEEE Conference on Standards for Communications and Networking
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work is partly supported by Academy of Finland in6Genesis Flagship (Grant no. 318927) project and ScienceFoundation Ireland under CONNECT phase 2 (Grant no.13/RC/2077P2).
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
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