Vodafone and Ericsson optimise 5G energy use

Vodafone and Ericsson optimise 5G energy use is profiled by BTW Media because published evidence links it to internet infrastructure, governance, operational dependencies, or market visibility.

• AI-powered trial reduces 5G power consumption by up to 33%
• Vodafone can cut energy use by 70% during low-traffic hours

What happened: AI trial enhances 5G energy efficiency

Vodafone UK and Ericsson have partnered to test AI-driven solutions aimed at improving 5G energy efficiency. The trial, conducted at select London sites, achieved a 33% reduction in daily power consumption for 5G radio units.

Ericsson provided its AI and machine learning (ML)-powered software, including the Service Continuity AI App, designed to optimise network energy use, reduce costs, and lower carbon emissions. The trial focused on three key use cases: 5G Deep Sleep, 4G Cell Sleep Mode Orchestration, and a Radio Power Efficiency Heatmap. These features allow Vodafone to adjust power consumption dynamically, switching off certain components during low-traffic periods and reactivating them when demand increases.

By leveraging 5G Deep Sleep technology, Vodafone can cut power use by 70% during off-peak hours. The operator aims to enhance network sustainability without affecting service quality as it continues expanding 5G coverage across the UK.

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Why it’s important

The telecom sector is increasingly focusing on energy efficiency, with AI and automation playing a key role in optimising 5G network operations. Reducing power consumption is critical for cost savings and sustainability, as mobile networks are significant energy consumers.

Vodafone’s partnership with Ericsson highlights the growing use of AI to manage network resources dynamically. The ability to power down equipment during low-traffic periods reduces operating expenses and carbon emissions, aligning with net-zero targets.

As 5G networks expand globally, energy-efficient solutions will help operators manage rising demand while minimising environmental impact. AI-driven strategies like 5G Deep Sleep and predictive power optimisation could set a precedent for future network sustainability initiatives.