Energy-efficient 5G core user plane function

5 Pages

This paper examines how polling-based 5G UPFs consume full CPU power even during low traffic periods, driving unnecessary energy costs. It presents a reference architecture using AI-driven frequency feedback loops (FFL) to dynamically adjust CPU frequency without affecting performance or packet loss. In centralized deployments, power savings reached up to 25% daily; edge deployments saw savings around 15%. Built on Red Hat OpenShift features, the solution reduces OPEX and emissions while maintaining strict 5G performance requirements.

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Energy-efficient 5G core user plane function

Energy-efficient 5G core user plane function

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