AIBullisharXiv – CS AI · Feb 276/104
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Agentic AI for Intent-driven Optimization in Cell-free O-RAN
Researchers propose an agentic AI framework using multiple LLM-based agents to optimize cell-free Open RAN networks through intent-driven automation. The system reduces active radio units by 42% in energy-saving mode while cutting memory usage by 92% through parameter-efficient fine-tuning.