Mobile communication is a cornerstone technology in our society, facilitating personal relationships, fostering cooperation, and advancing education. Each generation of this technology has brought new services, from voice calls and messaging to internet access, and now Artificial Intelligence (AI). This transformation has steadily augmented the mobile network resource requirements. Driven by the societal and economical needs to increase the mobile network energy efficiency, reduce its energy consumption and the associated environmental footprint, this comment surveys standardized metrics to assess energy-related network performance and overview data-driven state-of-the-art solutions to accelerate the energy transition of mobile networks.
References
GSMA, 2024 Mobile Industry Impact Report: Sustainable Development Goals. https://www.gsma.com/solutions-and-impact/connectivity-for-good/external-affairs/2024-mobile-industry-impact-report-sustainable-development-goals/ (2024).
Schülde, M., Veillard, X. & Weiss, A. Four themes shaping the future of the stormy european power market, McKinsey & Company, White Paper. https://www.mckinsey.com/industries/electric-power-and-natural-gas/our-insights/four-themes-shaping-the-future-of-the-stormy-european-power-market#/ (2023).
Ericsson, Ericsson Mobility Report, White Paper, https://www.ericsson.com/en/reports-and-papers/mobility-report/reports/november-2024 (2024).
Sultan, A. Energy Efficiency in 3GPP technologies. https://www.3gpp.org/technologies/deep-dive/ee-article (2025).
Harris, S. Greening the telecoms network. https://www.orange-business.com/en/blogs/greening-telecoms-network (2023).
GSMA, True north: a guide to green network evolution. https://www.gsma.com/get-involved/gsma-foundry/wp-content/uploads/2024/12/131224-True-North-Green-Network.pdf (2024).
GSMA, Mobile Net Zero 2024: State of the Industry on Climate Action. https://www.gsma.com/solutions-and-impact/connectivity-for-good/external-affairs/climate-action/mobile-net-zero-2024/ (2024).
Kundu, L., Lin, X. & Gadiyar, R. Toward energy efficient ran: From industry standards to trending practice. IEEE Wirel. Commun. 32, 36–43 (2025).
Lopez-Perez, D. et al. A survey on 5G radio access network energy efficiency: massive MIMO, lean carrier design, sleep modes, and machine learning. IEEE Commun. Surv. Tutor. 24, 653–697 (2022).
ETSI TC EE, ES 203 228, Environmental Engineering (EE); Assessment of mobile network energy efficiency. (2020).
Rappaport, T. S. et al. Waste factor and waste figure: A unified theory for modeling and analyzing wasted power in radio access networks for improved sustainability. IEEE Open J. Commun. Soc. 5, 4839–4867 (2024).
NGMN, Network Energy Efficiency Phase 2. https://www.ngmn.org/wp-content/uploads/NGMN_Network_Engergy_Efficiency_Phase2.pdf (2023).
3GPP TSG SA, TR 28.880, Study on energy efficiency and energy saving aspects of 5G networks and services. (2024).
ITU-T Study Group 5, Recommendation ITU-T L.1350, Energy efficiency metrics of a base station site. (2016).
ETSI TC EE, TS 103 786, Environmental Engineering (EE); Measurement method for energy efficiency of wireless access network equipment; Dynamic energy efficiency measurement method of 5G Base Station (BS). (2024).
ITU-T Study Group 5, Recommendation ITU-T L.1333, Carbon data intensity for network energy performance monitoring. (2022).
ISO, Information Technology – Data Centres – Key Performance Indicators - Renewable Energy Factor (REF), https://cdn.standards.iteh.ai/samples/66127/1781a93219924cb0b9b0785ec2367694/ISO-IEC-30134-3-2016.pdf (2015).
Auer, G. et al. How much energy is needed to run a wireless network? IEEE Wirel. Commun. 18, 40–49 (2011).
Claussen, H. et al. Small Cell Networks: Deployment, Management, and Optimization. (John Wiley & Sons, 2017).
Pongratz, S. Small cells: still early days in the journey. https://www.fierce-network.com/wireless/small-cells-still-early-days-journey-pongratz (2026).
Wesemann, S., Du, J. & Viswanathan, H. Energy efficient extreme mimo: Design goals and directions. IEEE Commun. Mag. 61, 132–138 (2023).
Han, S. et al. Energy-efficient 5g for a greener future. Nat. Electronics 3, 182–184 (2020).
De Domenico, A. et al. Modeling user transfer during dynamic carrier shutdown in green 5g networks. IEEE Trans. Wirel. Commun. 22, 5536–5549 (2023).
3GPP TSG SA, TS 28.310, Management and orchestration; Energy efficiency of 5G. (2024).
Luo, Z.-Q. et al. Srcon: A data-driven network performance simulator for real-world wireless networks. IEEE Commun. Mag. 61, 96–102 (2023).
Chaoub, A. et al. Hybrid self-organizing networks: Evolution, standardization trends, and a 6g architecture vision. IEEE Commun. Stand. Mag. 7, 14–22 (2023).
NGMN, Network Energy Efficiency Phase 3: A Roadmap to Energy Efficiency Mobile Networks. https://www.ngmn.org/wp-content/uploads/GFN_Energy_Efficiency_Roadmap_V1.0.pdf (2024).
Huawei, 5G Network Energy Consumption dataset. https://huggingface.co/datasets/netop/5G-Network-Energy-Consumption
GSMA, Mobile Infrastructure Investment Landscape. https://www.gsma.com/solutions-and-impact/connectivity-for-good/public-policy/gsma_resources/mobile-infrastructure-investment-landscape/ (2025).
AT&T, Task Force on Climate-related Financial Disclosures (TCFD) Index, https://sustainability.att.com/reports/reporting-frameworks/tcfd (2025).
NGMN, Network Energy Efficiency Phase 3A: Effective Energy Saving Strategies and Best Practices for MNOs. https://www.ngmn.org/wp-content/uploads/231204_NGMN_NEE_Phase_3A.pdf (2023).
Next G Alliance Report, Sustainable AI in Telecom: Promises and Challenges in 6G. https://nextgalliance.org/white_papers/sustainable-ai-in-telecompromises-and-challenges-in-6g/ (2025).
Acknowledgments
We would like to thank David Lopez-Perez, Paolo Gemma, Xinli Geng, Nan Zhao, and Qitao Song for their support to this work.
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All authors contributed substantially to the discussion of the content. A.D.D., N.P. and X.Z. researched, wrote, and edited the paper. X.L., M.O. and X.C. reviewed the manuscript before submission.
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De Domenico, A., Piovesan, N., Zhou, X. et al. Advancing green mobile networks. Nat Commun (2026). https://doi.org/10.1038/s41467-026-71562-1
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DOI: https://doi.org/10.1038/s41467-026-71562-1
Facts Only
Mobile communication technology has evolved from voice calls to AI integration, increasing network resource requirements.
The mobile industry is focused on improving energy efficiency and reducing environmental impact.
Standardized metrics for energy efficiency are provided by organizations like ETSI, ITU-T, and 3GPP.
GSMA, Ericsson, and NGMN have published reports on energy efficiency and sustainability in mobile networks.
Research highlights energy-saving techniques such as massive MIMO, lean carrier design, and sleep modes.
Data-driven solutions, including AI and machine learning, are being developed to optimize network energy use.
The article references studies and recommendations from 2015 to 2026, including reports from GSMA, Ericsson, and academic publications.
Authors include A. De Domenico, N. Piovesan, and X. Zhou, with contributions from multiple researchers.
The article is published under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Peer review was conducted by Van-Linh Nguyen and Chien Aun Chan.
The article cites datasets and white papers from Huawei, NGMN, and other industry leaders.
The discussion includes technical, economic, and environmental perspectives on mobile network energy efficiency.
Executive Summary
Full Take
The narrative presents a strong case for the mobile industry's commitment to energy efficiency, supported by standardized metrics, industry reports, and academic research. It effectively highlights the collaboration between standardization bodies, telecom companies, and researchers to address environmental concerns. However, the focus on technical solutions and industry initiatives may overlook broader systemic challenges, such as the economic incentives for energy reduction or the potential trade-offs between performance and sustainability.
Patterns detected: none
The paradigm driving this narrative is the intersection of technological advancement and environmental responsibility, with an unstated assumption that industry-led innovation can sufficiently address climate concerns. Historically, this echoes the pattern of technological optimism, where new solutions are expected to resolve complex societal issues without deeper structural changes. The implications for human agency are mixed: while the narrative empowers industry stakeholders to lead change, it may underestimate the role of policy, consumer behavior, or grassroots movements in driving sustainability.
Key questions to consider: How might economic pressures conflict with long-term sustainability goals? What role should governments play in regulating energy efficiency beyond industry self-regulation? How can the benefits of energy-efficient networks be equitably distributed across different regions and demographics?
If this narrative were part of a coordinated influence campaign, the playbook might emphasize industry self-regulation and technological solutions while downplaying the need for external oversight or systemic change. However, the content does not align with such a pattern, as it presents a balanced view of industry efforts, academic research, and standardization work without overtly dismissing alternative perspectives.
Sentinel — Human
The article appears to be written by a human author with a strong understanding of mobile network energy efficiency. The text exhibits reasonable sentence length variance, clear coherence, and no signs of coordinated synthetic production.