Green Future Networks
Developing sustainable and environmentally conscious solutions.
Programme Leads
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Saima Ansari
Deutsche Telekom
Objectives
Laurent Leboucher, Orange, Chairman of the NGMN Alliance Board
Green Future Networks 2024-2025
- How to optimise use of renewable energy in mobile networks?
- Role of MNOs in wider energy management of energy grids
- How to optimise use of renewable energy in mobile networks?
- Role of MNOs in wider energy management of energy grids
- Requirements and recommendations towards metering in transport networks
- Requirements and capabilities to compare energy efficiency of different RAN deployment options
Energy Management
Project Leads
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Antonio De Domenico
Huawei -
Rishikesh Chakraborty
Vodafone
Objectives
Environmental Sustainability and Reporting
Project Leads
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Yuanyuan Huang
Orange -
Yildiray Ornekli
Turkcell
Objectives
Metering
Project Leads
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Sabine Demel
Deutsche Telekom
Objectives
Building a Sustainable Future for Mobile
High relevance to MNOs, industry and globe
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Publications
Environmental sustainability and reporting
The publication, “Green Future Networks: Environmental Sustainability and Reporting”, offers practical recommendations for addressing Scope 3 emissions – those generated across the broader value chain – which represent approximately 90% of total emissions for mobile network operators (MNOs).
NGMN advocates for a shift toward using primary (unit-based) emissions factors rather than traditional financial (price-based) ones to enhance reporting accuracy. The guidance also emphasises the need for greater collaboration and industry-wide alignment of calculation methods.
Green Future Networks: A Roadmap to Energy Efficient Mobile Networks
This latest NGMN publication outlines 16 different energy saving techniques and intelligent solutions that are currently used or under development in the industry. Supported by real-world data, the publication highlights the energy saving potential of each solution and classifies each by type and by the time needed to develop and deploy them.
According to the publication, energy consumption can be reduced through process optimisations, engineering and operational improvements, and the deployment of recent technologies. This is the latest phase of NGMN’s Green Future Networks programme, building on the previous publications that addressed the short-term solutions that mobile network operators (MNOs) could deploy.
Green Future Networks: Metering in Virtualised RAN Infrastructure
Being “green”, which entails energy efficiency and sustainability without compromising performance, is increasingly recognised as a hot topic and a prerequisite for enduring success today and in the future.
Through this publication, the NGMN Alliance delivers vital recommendations for industry standards, facilitating more precise and real-time estimations of energy consumed by virtualised or cloud-native network functions. It highlights the necessity of enhancing current 3GPP Virtual Network Function (VNF) / Cloud Network Function (CNF) energy consumption estimation frameworks for more precise measurement of energy consumption by VNF/CNF on shared IT/Cloud infrastructure.
Furthermore, the publication emphasises the implementation and the consideration by standardisation bodies of the Redfish® model published by DMTF as a starting point, and addresses the questions which data/parameters are measured, how, and which standards to align to.
Network Energy Efficiency Phase 2
The mobile industry through NGMN’s Green Future Networks Programme has come together to find solutions to increase network energy efficiency and enable operators to reduce their electricity consumption. In this publication we outline and prioritise the various options available to increase network energy efficiency. In particular energy saving approaches are organised into three broad categories (and time-horizons):
• process optimisations – short-term (chapter 2)
• engineering optimisations – medium-term (chapter 3)
• new technologies – long-term (chapter 4)
For each energy saving approach information is provided – based on data from live networks and/or simulations – on the size and scope of the potential energy savings.
Events
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