Event Detection for Parameter-to-KPI Dependency Learning in AI-RAN

arXiv·low signal

This paper develops event-detection methods to learn how configuration parameters map to KPIs across multiple concurrent AI-driven control functions in next-generation (AI-RAN) wireless networks. It is an example of multi-agent autonomous control optimizing competing objectives in production infrastructure. Relevant to telecom and infrastructure teams deploying coordinated control agents.