Agentic AI for 6G RAN Slicing
Published:Dec 29, 2025 14:38
•1 min read
•ArXiv
Analysis
This paper introduces a novel Agentic AI framework for 6G RAN slicing, leveraging Hierarchical Decision Mamba (HDM) and a Large Language Model (LLM) to interpret operator intents and coordinate resource allocation. The integration of natural language understanding with coordinated decision-making is a key advancement over existing approaches. The paper's focus on improving throughput, cell-edge performance, and latency across different slices is highly relevant to the practical deployment of 6G networks.
Key Takeaways
Reference
“The proposed Agentic AI framework demonstrates consistent improvements across key performance indicators, including higher throughput, improved cell-edge performance, and reduced latency across different slices.”