Leveraging generative AI for intent-based networking operations in network slices
Large Language Models (LLMs) are among the most popular Generative AI models. They bring benefits like a natural language interface and the automation of complex tasks. Despite their potential, few studies have implemented LLMs for network management. This paper addresses that gap, showcasing in a p...
| Authors: | , , , , , , |
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| Format: | article |
| Status: | Published version |
| Publication Date: | 2025 |
| Country: | España |
| Institution: | Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) |
| Repository: | r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) |
| OAI Identifier: | oai:cttc.fundanetsuite.com:p8859 |
| Online Access: | https://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=8859 |
| Access Level: | Embargoed access |
| Keyword: | Large language models Software-defined networking Intent-based networking and network slices |
| Summary: | Large Language Models (LLMs) are among the most popular Generative AI models. They bring benefits like a natural language interface and the automation of complex tasks. Despite their potential, few studies have implemented LLMs for network management. This paper addresses that gap, showcasing in a practical scenario how network management can be efficiently enhanced by automating tasks such as network configuration and traffic analysis, thereby reducing downtime and improving efficiency. This study presents a LLM agent integrated with a cloud-native SDN controller (ETSI TeraFlowSDN) designed with Retrieval-Augmented Generation (RAG) capabilities to operate with intent-based network operations. The LLM agent understands the context and triggers different operations, such as intent creation, query, and explanation. The results demonstrate a system capable of automating network operations with a factual accuracy of 93% with reasonable computation times, demonstrating how the developed LLM agent can enhance network management. |
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