arXiv Machine Learning By Christie Djidjev, Nicholas Kaminski

Explainable Runtime Dependency Tracking for AI-RAN Conflict Monitoring

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arXiv:2606. 06663v1 Announce Type: new Abstract: Future AI-integrated Radio Access Networks (AI-RAN) will combine open programmability with learning-enabled xApps, rApps, and control functions that act on shared parameters and key performance indicators (KPIs).

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arXiv Machine Learning
Jun 5

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

arXiv:2606. 06459v1 Announce Type: new Abstract: Next-generation wireless networks are expected to rely on multiple concurrent AI-driven control functions that optimize different network objectives simultaneously, particularly in AI-integrated and open radio access network architectures such as AI Radio Access Network (AI-RAN) and Open Radio Access Network (O-RAN).

By Christie Djidjev, Nicholas Kaminski