AIBullisharXiv – CS AI · 10h ago6/10
🧠
From RAN Control to Agentic Intelligence: Architecture and Vision for Energy Efficient AI-RAN
Researchers propose an AI-native architecture for 6G radio access networks (RANs) that combines Open RAN's control framework with Large Language Models to optimize energy consumption across distributed AI and communication workloads. The approach uses semantic intent abstraction and LLM-driven coordination to enable adaptive multi-objective optimization, addressing a critical challenge in sustainable next-generation network infrastructure.