Target Audience

Telecommunications operators, network sustainability teams, and IT infrastructure managers

Challenge

Telecom operators face increasing pressure to reduce energy consumption and carbon emissions while maintaining high-performance 5G networks. Traditional energy-saving methods often compromise user experience or require significant hardware upgrades.

Solution Approach

Vodafone UK and Ericsson implemented AI/ML-powered solutions (5G Deep Sleep, 4G Cell Sleep Mode Orchestration, and Radio Power Efficiency Heatmap) to dynamically optimize energy use based on real-time traffic data, reducing power consumption without impacting performance.

Value Add

Achieved up to 33% daily energy savings in 5G Radio Units, lowering OPEX and carbon emissions while maintaining network reliability. AI-driven predictive algorithms enable rapid reactivation of components during traffic spikes.

How to Apply This

Real-time data monitoring is the foundation for optimizing and automating decision-making for reduced energy consumption. First projects should focus on creating data transparency. Automated decision making comes at a later stage when you are sure that you have gathered all of the relevant information in high quality. Start with:

• •assessing the data you already have,
• •ideating the data your are missing,
• •highlighting the various IT systems you need to connect for a 360-degree view,
• •setting up data pipelines and monitoring UIs to enable your workforce.

Want to implement your own real-time dashboards for energy consumption? Reach out to me and book a free 30-minute feasibility call.

References

Vodafone UK and Ericsson (trial partners)

Read more here: https://www.ericsson.com/en/press-releases/3/2025/vodafone-uk-and-ericsson-trial-ai-solutions-for-improved-5g-energy-efficiency