Event Detection for Parameter-to-KPI Dependency Learning for AI-RAN
- Published
- Source
- arXiv
- Paper number
- 342
- Field
- Machine Learning
- arXiv ID
- 2606.06459
Key points
- This work covers the first step of dependency learning for interference management among multiple AI control functions in AI-RAN.
- We propose a pipeline that converts noisy continuous measurements into binary event indicators.
- We introduce a new synthetic closed-loop traffic generator with embedded latent dependencies.
- We evaluate the dependency recovery pipeline by formulating it as a significance detection problem.
- We confirm that threshold calibration is a key determinant of event-detection quality.
Paper links
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