Intent-Based Networking with AI: Towards Fully Autonomous Network Operations
DOI:
https://doi.org/10.5281/zenodo.15347801Keywords:
intent-based networking, artificial intelligence, network automation, natural language processing, policy translation, fault management, software-defined networkingAbstract
This research explored the integration of Artificial Intelligence (AI) into Intent-Based Networking (IBN) systems with the goal of enabling fully autonomous network operations. Utilizing a qualitative research design, the study involved expert interviews and system behavior observations within simulated environments. The AI-driven IBN prototype was developed with components for natural language intent recognition, policy translation, and autonomous fault management. The findings indicated high accuracy in interpreting user intents (93.7%), efficient policy deployment, and significant reductions in both configuration and recovery times compared to traditional Software-Defined Networking (SDN) systems. Experts validated the system's operational advantages while also noting challenges in handling ambiguous inputs and adapting to diverse network configurations. Overall, the research highlighted the feasibility and benefits of AI-enhanced IBN while recommending further real-world testing and security considerations to achieve truly autonomous network infrastructures.
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Andrade-Hoz, J., Wang, Q., & Alcaraz-Calero, J. M. (2024). Infrastructure-wide and intent-based networking dataset for 5G-and-beyond AI-driven autonomous networks. Sensors, 24(3), 783.
Brodimas, D., Trantzas, K., Agko, B., Tziavas, G. C., Tranoris, C., Denazis, S., & Birbas, A. (2024, June). Towards intent-based network management for the 6g system adopting multimodal generative AI. in Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), pp. 848-853. IEEE.
Clemm, A. (2021). Intent-based network management. future networks, services and management: Underlay and overlay, edge, applications, slicing, cloud, space. AI/ML, and Quantum Computing, 383-398.
Leivadeas, A., & Falkner, M. (2022). A survey on intent-based networking. IEEE Communications Surveys & Tutorials, 25(1), 625-655.
Leivadeas, A., & Falkner, M. (2023, July). Autonomous network assurance in intent based networking: Vision and challenges. in 32nd International Conference on Computer Communications and Networks (ICCCN), pp. 1-10. IEEE.
Manias, D. M., Chouman, A., & Shami, A. (2024, May). Towards intent-based network management: Large language models for intent extraction in 5g core networks. in 20th International Conference on the Design of Reliable Communication Networks (DRCN), pp. 1-6. IEEE.
Mehmood, K., Kralevska, K., & Palma, D. (2023). Intent-driven autonomous network and service management in future cellular networks: A structured literature review. Computer Networks, 220, 109477.
Mihaeljans, M., Skrastins, A., & Porins, J. (2024). Paramounts of Intent-based Networking: Overview. Elektronikair Elektrotechnika, 30(6), 53-59.
Njah, Y., Leivadeas, A., & Falkner, M. (2024). An AI-driven intent-based network architecture. IEEE Communications Magazine.
Pang, L., Yang, C., Chen, D., Song, Y., & Guizani, M. (2020). A survey on intent-driven networks. IEEE Access, 8, 22862-22873.
Sophocleous, M., Lessi, C., Xu, Z., Špaňhel, J., Qiu, R., Lendinez, A., ... & Belikaidis, I. (2022, June). AI-driven intent-based networking for 5G enhanced robot autonomy. in IFIP International Conference on Artificial Intelligence Applications and Innovations, pp. 61-70. Cham: Springer International Publishing.
Szilágyi, P. (2021). I2 BN: Intelligent intent based networks. Journal of ICT Standardization, 9(2), 159-200.
Velasco, L., Signorelli, M., De Dios, O. G., Papagianni, C., Bifulco, R., Olmos, J. J. V., ... & Ruiz, M. (2021). End-to-end intent-based networking. IEEE Communications Magazine, 59(10), 106-112.
Wang, J., Zhang, L., Yang, Y., Zhuang, Z., Qi, Q., Sun, H., ... & Liao, J. (2023). Network meets ChatGPT: Intent autonomous management, control and operation. Journal of Communications and Information Networks, 8(3), 239-255.
Wei, Y., Peng, M., & Liu, Y. (2020). Intent-based networks for 6G: Insights and challenges. Digital Communications and Networks, 6(3), 270-280.
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Copyright (c) 2025 Vivek Bairy, Sunil Jorepalli
This work is licensed under a Creative Commons Attribution 4.0 International License.
Research Articles in 'Applied Science and Engineering Journal for Advanced Research' are Open Access articles published under the Creative Commons CC BY License Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/. This license allows you to share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and build upon the material for any purpose, even commercially.
