5G Energy Efficiency Optimization
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.
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
Image credentials: Giorgio Tomassetti/ Unsplash
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