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

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.

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Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2024-12-31
DOI
https://doi.org/10.32628/cseit2410612437
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Sanjiban Choudhury
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Software-Defined Networks and 5G
article

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

Sanjiban Choudhury
article en

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.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 10(6)
Ericsson (United States) (US)
Openalex Percentile: Top 71%
Software-Defined Networks and 5G
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Zero-Touch Slicing: Revolutionizing 5G Network Management through AI and Automation — Sanjiban Choudhury · International Journal of Scientific Research in Computer Science Engineering and Information Technology (2024) | TGRS Research Map | TGRS