Intelligent access control for 5G optical network

Authors

DOI:

https://doi.org/10.31649/1681-7893-2026-51-11-358-365

Keywords:

fuzzy controller, fuzzy logic, access control, fifth generation networks, optical network, intelligent technologies.

Abstract

The article investigates the current problem of controlling access to resources of the fifth generation optical transport network (5G), which is an important component of the infrastructure of modern telecommunication systems. In conditions of rapid growth in the number of connections, traffic heterogeneity and dynamic load changes, traditional access control algorithms lose their effectiveness and are unable to provide the necessary level of accuracy. In order to increase the flexibility of decision-making, the article proposes the use of fuzzy logic to develop an intelligent access controller capable of operating in conditions of uncertainty and incompleteness of input data. The simulation results confirm the advantages of the proposed approach.

Author Biographies

O.O. Semenova, Vinnytsia National Technical University

Кандидат технічних наук, доцент кафедри інфокомунікаційних систем і технологій

M.O. Prytula, Vinnytsia National Technical University

Кандидат технічних наук, доцент кафедри інформаційних радіоелектронних технологій і систем

A.V. Dzhus, Vinnytsia National Technical University

Аспірант кафедри інфокомунікаційних систем і технологій

V.V. Martyniuk, Vinnytsia National Technical University

Аспірант кафедри інфокомунікаційних систем і технологій

References

Zakrzewski, Z., Głąbowski, M., Zwierzykowski, P., Eramo, V., & Lavacca, F. G. (2024). Optical Technologies Supporting 5G/6G Mobile Networks. Photonics, 11(9), 833. https://doi.org/10.3390/photonics11090833

Chang, S.-H. (2019). Key Technologies and Development Trends of 5G Optical Networks. Applied Sciences, 9(22), 4835. https://doi.org/10.3390/app9224835

Shakthi Murugan, K. H., & Sumathi, M. (2019). Design and Analysis of 5G Optical Communication System for Various Filtering Operations using Wireless Optical Transmission. Results in Physics, 12, 460–468. https://doi.org/10.1016/j.rinp.2018.10.064

Mata, J., de Miguel, I., n, R. n J. D., Merayo, N., Singh, S. K., Jukan, A., & Chamania, M. (2018). Artificial Intelligence (AI) Methods in Optical Networks: A Comprehensive Survey. Optical Switching and Networking, 28, 43-57. https://doi.org/10.48550/ARXIV.1801.01704

Ampririt, P., Liu, Y., Ikeda, M., Matsuo, K., Barolli, L., & Takizawa, M. (2020). An Admission Control System for 5G Wireless Networks Considering Fuzzy Logic and Software-Defined Network Approaches. In Advances in Intelligent Systems and Computing (pp. 63–72). Springer International Publishing. https://doi.org/10.1007/978-3-030-50454-0_7

Ampririt, P., Qafzezi, E., Bylykbashi, K., Ikeda, M., Matsuo, K., & Barolli, L. (2021). Application of Fuzzy Logic for Slice QoS in 5G Networks. International Journal of Mobile Computing and Multimedia Communications, 12(2), 18–35. https://doi.org/10.4018/ijmcmc.2021040102

Semenova, O., Kryvinska, N., Semenov, A., Rudyk, A., & Dzhus, A. (2025). Intelligent Admission Control in Wireless Networks of IoT. International Journal of Control, Automation and Systems, 23(4), 1262–1270. https://doi.org/10.1007/s12555-024-0603-z

Al-Maitah, M., Semenova, O. O., Semenov, A. O., Kulakov, P. I., & Kucheruk, V. Yu. (2018). A Hybrid Approach to Call Admission Control in 5G Networks. Advances in Fuzzy Systems, 2018, 1–7. https://doi.org/10.1155/2018/2535127

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Published

2026-06-17

How to Cite

[1]
O. Semenova, M. Prytula, A. Dzhus, and V. Martyniuk, “Intelligent access control for 5G optical network”, Опт-ел. інф-енерг. техн., vol. 51, no. 1, pp. 358–365, Jun. 2026.

Issue

Section

Fiber-Optical Technologies for Information (Internet, Intranet etc.) and Energy Networks

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