Why Ericsson was Selected as ABI Research’s “Most Sustainable Telco Vendor” - Seite 3

After consolidating energy reduction data from multiple vendors, ABI Research attributes Ericsson's close co-design of Ericsson Silicon, hardware, and software as key to its Product Energy Management leadership. The Ericsson Silicon range of chips are custom-made for mobile networks versus general purpose, and they span across the Ericsson Radio System, including RAN compute, radio, and transport functionalities. With 93.5% of Ericsson's total carbon footprint coming from "Portfolio use of equipment," a strong focus on next generation chip innovation and energy reduction should not only equate to savings in OPEX for CSPs but also contribute to breaking the 5G energy curve and reducing carbon emissions for Ericsson and its customers, while supporting data traffic growth

Ericsson did not lead in all equipment categories in the assessment. Other competing vendors had innovative and sustainable technology solutions for base station liquid cooling and on-site renewable energy, for example. ABI Research also assessed 16 Open RAN vendors for impact and implementation, and it was determined that traditional vendors like Ericsson are currently in the best overall position to address the sustainability needs of the telecom industry (though this could change with further OpenRAN integration and technological advancement.)

Network Energy Performance

In recent years, major network operators have set clear and ambitious targets for mitigating climate change. So, how will these MNOs achieve Net Zero? In a concise summary: renewable energy, energy reduction (across the networks), and carbon offsets only for emission technically unfeasible to eliminate. Understanding this focus and a need for more energy efficient networks, Ericsson has established the ambition to design new sites that reduce energy consumption by 40% by 2025. With renewable electricity powering the site, carbon emissions reductions per site can be up to 70%.

Moreover, in addition to designing more energy efficient equipment, Ericsson is continuing to develop and test artificial intelligence (AI) and advanced analytics solutions. There are numerous 5G use cases for AI-enabled and data-driven networks. Ericsson highlights two popular AI-use cases for customers, including 5G key performance indicator (KPI) degradation (notifying operators of potential performance issues hours in advance) and advanced root cause analysis of a network. From a sustainability perspective, both can better enable remote operations while reducing transportation emissions of site visits. The further testing and evaluation of AI-enabled 5G power savings features (PSFs) with automated sleep and shutdown modes can also reduce energy use. Through various global trials of AI/analytics software, Ericsson has assessed that CSPs can achieve roughly 15% reductions in energy-related operational expenditure (OPEX), an approximate 15% reduction in site visits (related to passive equipment), and an approximate 30% reduction in energy-related outages.

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