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AI-Driven Energy Efficiency for O-RAN | BeGREEN Intelligence Plane

BeGREEN Intelligence Plane – A Smarter, Greener Network

Reducing energy consumption in mobile networks is more important than ever. The BeGREEN Intelligence Plane, part of the SNS BeGREEN project, is designed to improve energy efficiency in O-RAN networks using AI-driven decision-making. This white paper outlines the approach, testing, and results.

Accelleran’s Contribution

Accelleran’s dRAX Near-RT RIC is central to implementing real-time energy-saving strategies. Our platform enforces AI-driven energy policies, reducing operational costs and optimising network coverage.

Key Elements

AI-Based Adjustments: AI models predict traffic demand and adjust network cell operations.
Near-RT RIC Execution: Accelleran’s dRAX ensures smooth implementation of energy-saving policies.
Realistic Testing: The system was evaluated using a RAN Digital Twin environment with VIAVI TeraVM AI RSG.

Live Demonstration at MWC 2025

Accelleran will showcase the BeGREEN Intelligence Plane at MWC Barcelona 2025. Visit our stand (7E51) to see the AI-driven energy optimisation application in action.

White Paper Download

The white paper provides full details on the BeGREEN Intelligence Plane’s design, AI models, and testing process.

Click Here to Download the White Paper

Accelleran and the BeGreen Consortium

Accelleran understands the environmental impact of the densification of 5G networks, as superior speed and availability require more power. We’re part of the BeGreen consortium that explores energy-efficient solutions in Open RAN, with a focus on the RAN Intelligent Controller (RIC) platform. Harnessing the power of xApps and rApps on the RIC platform, we’re not only envisioning cost savings through decreased power consumption but also contributing to global sustainability targets.