A1gent decouples LLM-based intent reasoning from deterministic near-real-time actuation in Open RAN using typed policies, guardrails, and a training-free tuner.
Demo: human-in-the-loop agentic reconfiguration of edge 5G networks via dual-MCP and LLM reasoning
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Agentic Open RAN: A Deterministic and Auditable Framework for Intent-Driven Radio Control
A1gent decouples LLM-based intent reasoning from deterministic near-real-time actuation in Open RAN using typed policies, guardrails, and a training-free tuner.