RANalyzer combines LLM-based code change categorization with statistical residuals analysis to attribute RAN performance variations to specific software updates using a two-year dataset of over 8,600 tests.
AutoRAN: Automated and Zero-Touch Open RAN Systems
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A1gent decouples LLM-based intent reasoning from deterministic near-real-time actuation in Open RAN using typed policies, guardrails, and a training-free tuner.
citing papers explorer
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RANalyzer: Automated Continuous RAN Software Evaluation and Regression Analysis
RANalyzer combines LLM-based code change categorization with statistical residuals analysis to attribute RAN performance variations to specific software updates using a two-year dataset of over 8,600 tests.
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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.