Intent-Based 5G Core Deployment Using Generative AI

The concept of Network-as-a-Service is based on the automatic deployment and dynamic reconfiguration of next-generation networks in order to meet the needs of the respective stakeholders. Towards that path, orchestrating both telco and computational resources across the different network domains, imposes a great challenge even for the network experts. This paper explores an intent-based management framework designed to simplify this procedure. By receiving high-level network requirements through descriptive text and supplementary images representing the desired outcome, the framework ingests and translates them into network configuration files. These files facilitate the seamless deployment of a open-source 5G Core, without any human intervention, tailored to the stakeholders’ needs. The proposed framework achieves this by employing multimodal Generative AI models, particularly Large Language Models, to bridge the gap between the user’s intent and network configuration.