The whitepaper on Advanced Management of Radio Access Networks using AI outlines how Fujitsu is addressing the complexity, energy use, and reliability demands of 5G and beyond. It introduces proactive AI-driven RAN optimization that predicts service degradation and reallocates resources before failures occur. The approach combines Quality of Service and Quality of Experience monitoring with methods such as explainable Wide Learning, reinforcement learning, and time-series prediction. Practical applications include reducing power via O-RU sleep control, accelerating outage recovery with AI-driven tilt adjustments, and real-time QoE monitoring. These innovations aim to build efficient, resilient, and user-centric networks by 2030.

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