LLM-hRIC: LLM-empowered Hierarchical RAN Intelligent Control for O-RAN

Researchers propose LLM-hRIC, a new framework that combines large language models with hierarchical radio access network intelligent controllers to improve O-RAN networks. The system uses LLM-powered non-real-time controllers for strategic guidance and reinforcement learning for near-real-time decision making in network management.

• →LLM-hRIC framework addresses cooperation issues between RAN intelligent controllers in open radio access networks.
• →The system combines LLM-powered strategic guidance with reinforcement learning for real-time network decisions.
• →Framework aims to reduce computational demands while enabling better real-time network management.
• →Research demonstrates feasibility in integrated access and backhaul network settings.
• →The approach represents advancement in applying AI techniques to telecommunications infrastructure.