LIMO: A Large Language Model-Driven Intent Network Management and Orchestration Framework for 6G Networks

LIMO (Large Language Model-Empowered Intent-Driven Network Management and Orchestration) is a large language model-driven intent network management and orchestration framework for 6G networks, enabling full lifecycle management from intent translation, policy generation to code implementation and continuous assurance. This framework aims to address the complexity of traditional network management and the issues of fragmentation, semantic gaps, and insufficient adaptability in existing intent-driven network solutions. It is open-sourced on GitHub (author: wp255, release date: 2026-05-23).

With the popularization of 5G and the advancement of 6G research and development, the complexity of network management has increased dramatically. Traditional methods rely on manual configuration and predefined rules, which are difficult to meet dynamic business requirements. Although Intent-Driven Networking (IDN) is an emerging paradigm, existing solutions have three major issues: fragmented design (focusing only on a single link), semantic gaps (large differences between natural language and machine configuration), and insufficient adaptability (lack of continuous learning and optimization capabilities).

LIMO adopts a three-layer architecture: 1. Intent Enablement Layer (receives and parses natural language intents, converting them into structured intermediate representations); 2. Policy Generation Layer (uses large language model reasoning to convert structured intents into specific network policies); 3. Code Implementation Layer (automatically generates executable configuration code and deploys it). The repository provides reproducible resources: fine-tuning datasets in the network management domain, intent translation modules, and optimized pre-trained model weights.

The core highlights of LIMO include: 1. End-to-end intent lifecycle (a complete closed loop of intent understanding → policy reasoning → code generation → continuous assurance, using chain-of-thought reasoning to decompose intents); 2. 6G network readiness (supports dynamic configuration of network slicing/edge computing, millisecond-level response, and AI/ML intelligent resource scheduling).

LIMO can be applied to: enterprise network automation (simplifying complex configuration management), cloud-network integration (unified management of cloud resources and network infrastructure), edge computing orchestration (automated deployment and configuration of edge nodes), and network slicing management (customized slice creation and management).

The practical value of LIMO: 1. Lowering operation and maintenance thresholds (expressing requirements in natural language without complex configuration commands); 2. Improving response speed (automation shortens the cycle from requirement to deployment); 3. Reducing human errors (eliminating manual configuration mistakes); 4. Enhancing scalability (easily extendable to new network technology protocols based on large language models).

As an open-source implementation, the value of LIMO includes: reproducibility (complete datasets and code for easy verification), scalability (modular design supporting layer innovation), and practicality (built based on real scenarios). Outlook: With the advancement of large language models and the deepening of network intelligence, this paradigm will play an important role in the 6G era.