QoEReasoner is an agentic framework using LLMs with deterministic KPI tools, a domain knowledge base, and a historical case bank orchestrated by a stateful planner for automated, explainable QoE diagnosis in RANs, claiming 18-40% accuracy gains and reduction to 3-minute sessions on real datasets.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.MA 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
QoEReasoner: An Agentic Reasoning Framework for Automated and Explainable QoE Diagnosis in RANs
QoEReasoner is an agentic framework using LLMs with deterministic KPI tools, a domain knowledge base, and a historical case bank orchestrated by a stateful planner for automated, explainable QoE diagnosis in RANs, claiming 18-40% accuracy gains and reduction to 3-minute sessions on real datasets.