AI Enhanced RRM extends classic Radio Resource Management by exporting telemetry from Catalyst 9800 controllers to Cisco AI Cloud Analytics. Machine-learning models analyze historical and real-time RF data, predict environmental changes, and push optimized channel, power, and threshold settings back to the controller. This closed-loop, cloud-driven approach proactively maximizes performance and mitigates interference—capabilities unavailable with static thresholds or on-box algorithms alone.

A. Classic RRM uses reactive thresholds; AI-Enhanced adds cloud ML and is not static.

B. Optimization balances coverage and interference; it does not simply raise transmit power.

C. Feature retains dynamic channel/power control; it is not disabled for fixed settings.

1. Cisco Technical Brief “AI Enhanced RRM on Catalyst 9800,” v1.2, Dec 2022, p. 3 “Machine Learning & Cloud Analytics Workflow.”

2. Cisco Live Session BRKEWN-2011, 2023, slide 18 “AI-Enhanced RRM Architecture—Predictive Optimization.”

3. Cisco Catalyst 9800 Configuration Guide, 17.10, “Enabling AI-Enhanced RRM,” overview section.