OSS-GPT: An LLM-Powered Intent-Driven Operations Support System for 6G Networks

With the high demands of 6 G networking services in terms of Quality of Service (QoS), managing these networks requires intelligent next-generation Operations Support Systems (OSSs). According to standardization bodies such as ETSI and 3GPP, OSS must support end-to-end, cross-domain management across all 6 G domains. They are making significant efforts to standardize Application Programming Interfaces (APIs) to enable Intent-Based Networking (IBN), which simplifies network management by allowing users to express their intentions in a declarative manner. However, these systems remain complex for users with limited domain knowledge who need to interact with these standardized APIs. Moreover, adding new functionalities to OSS often requires users to learn new API endpoints and structures, which can be time-consuming. To address these challenges, we propose enabling natural language interaction with OSS by leveraging Large Language Models (LLMs). Our approach offers two key advantages: simplifying user interaction with the system using natural language, and enabling the system to autonomously adapt to new API features. Since fulfilling a user's intent may involve multiple low-level API calls, our solution is designed to plan and execute them in a coordinated manner. We employ multi-agent LLMs with a hierarchical planning mechanism, creating a chatbot-like system that processes natural language inputs effectively. Real-world experiments conducted at EURECOM's OSS demonstrated that the proposed approach can efficiently manage all 6 G domains using natural language.