Zero-Touch Slicing: Revolutionizing 5G Network Management through AI and Automation

Saikat Choudhury

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2024, vol. 10, issue 6, 2394-2402

Abstract: Zero-Touch Slicing represents a revolutionary approach in modern telecommunications networks, particularly in 5G and future 6G systems, leveraging artificial intelligence and machine learning for automated network management. This comprehensive article explores the fundamental architecture, implementation strategies, and real-world applications of Zero-Touch Slicing. The article examines how AI-driven automation transforms traditional network management through predictive analytics, automated decision-making, and closed-loop optimization. It evaluates the technology's impact across enterprise environments, smart city infrastructures, and dynamic service provisioning scenarios. The article demonstrates significant improvements in operational efficiency, service quality, and business agility through automated network slice management. Furthermore, it analyzes the future implications and benefits of this technology, highlighting its potential to revolutionize network operations in the evolving telecommunications landscape.

Keywords: Network Slicing; Artificial Intelligence; Network Automation; Machine Learning; 5G Networks (search for similar items in EconPapers)
Date: 2024
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT2410612437
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrcseit.com/home/article/view/CSEIT2410612437 Article URL (text/html)
https://ijsrcseit.com/home/article/download/CSEIT2410612437/CSEIT2410612437 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v10:y2024:i6:id:642

DOI: 10.32628/CSEIT2410612437

Access Statistics for this article

More articles in International Journal of Scientific Research in Computer Science, Engineering and Information Technology from International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Bibliographic data for series maintained by Pankaj Sharma (USA) ().