TheAI-driven Radio Resource Management (RRM)system inJuniper Mist Wireless Assuranceemploys reinforcement learningto continuously optimize wireless radio parameters such as channel selection, transmit power, and channel width.
According to theJuniper Mist Wireless Assurance and AI-Driven RRM Guide:
"The RRM system leverages reinforcement learning techniques to dynamically adjust radio configurations based on environmental conditions, user density, and interference patterns." Reinforcement learning enables the Mist AI system to make decisions by continuously evaluating the outcome of past configurations and improving future adjustments. This ensures that Mist RRM can autonomously optimize RF conditions for coverage and capacity without manual intervention.
Therefore, the correct answer isC. Reinforcement learning.
References:- Juniper Mist Wireless Assurance and AI-Driven RRM Guide- Juniper Mist AI and Machine Learning Architecture Documentation- Juniper Mist Cloud Operations and Optimization Overview