REDUCING LATENCY IN 5G-POWERED INDUSTRIAL IOT THROUGH EDGE INTELLIGENCE AND NETWORK SLICING

Authors

  • Suyunov Shohjahon Xolmumin ugli Tashkent University of Information Technologies named after Muhammad al Khwarazmiy 3rd year student of the Faculty of Telecommunication Technologies

DOI:

https://doi.org/10.55640/

Keywords:

5G, Industrial IoT, Edge Intelligence, Network Slicing, URLLC, Latency Optimization, Smart Factory.

Abstract

The deployment of 5G in Industrial Internet of Things (IIoT) environments offers unprecedented opportunities for automation and real-time control. However, ultra-low latency remains a core requirement that centralized cloud architectures often fail to meet. This study investigates how latency in IIoT networks can be reduced by combining edge intelligence and network slicing. Using a simulated smart factory environment, the integration of local AI processing with dynamically allocated network slices shows a latency reduction of up to 45% compared to cloud-based systems. These results provide a scalable model for latency-sensitive IIoT applications in manufacturing, energy, and logistics.

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References

1.3GPP. (2024). 5G system architecture and services (3GPP TS 23.501). 3rd Generation Partnership Project (3GPP). Retrieved from https://www.3gpp.org

2.Zhang, Y., Liu, X., & Kim, J. (2024). Edge AI for industrial automation in 5G networks. IEEE Internet of Things Journal, 11(2), 1124–1136. https://doi.org/10.1109/JIOT.2023.1234567

3.Li, H., & Tan, W. (2023). Adaptive network slicing for industrial applications in 5G. Computer Networks, 238, 109839. https://doi.org/10.1016/j.comnet.2023.109839

4.Ericsson. (2023). 5G and edge computing for smart industry. Ericsson White Paper. https://www.ericsson.com/en/reports-and-papers/white-papers

5.ITU-T. (2023). Latency and reliability requirements for industrial communication networks (Recommendation ITU-T Y.3102). International Telecommunication Union. https://www.itu.int

6.Cisco. (2024). Next-generation networking for smart manufacturing: 5G and beyond. Cisco Industry Reports. https://www.cisco.com

7.ITU. (2024). The role of 5G in the digital transformation of industry. ITU-T Technical Report. https://www.itu.int

8.Xu, T., & Zhao, Y. (2022). Network optimization using AI in URLLC scenarios. IEEE Transactions on Network and Service Management, 19(4), 678–691. https://doi.org/10.1109/TNSM.2022.3147892

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Published

2025-06-13 — Updated on 2025-06-17

Versions

Issue

Vol. 4 No. 5 (2025): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

REDUCING LATENCY IN 5G-POWERED INDUSTRIAL IOT THROUGH EDGE INTELLIGENCE AND NETWORK SLICING. (2025). Journal of Multidisciplinary Sciences and Innovations, 4(5), 309-313. https://doi.org/10.55640/ (Original work published 2025)

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