The mobile communications industry has been provided with new guidance on the building blocks needed for autonomous networks that encompass Artificial Intelligence (AI) thanks to the publication of NGMN’s ‘Automation and Autonomous system Architecture Framework – Phase 2’, released today.
The latest updates provide guidance and direction on the use cases, requirements, and architectural principles to embrace interoperable, multi-vendor and standards-based autonomous networks that will help to manage the increasing complexity of the evolving 5G Advanced ecosystem.
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.
https://www.ngmn.org/wp-content/uploads/GFN_Energy_Efficiency_Roadmap_V1.0.jpg1123794Juliya Naumovahttps://www.ngmn.org/wp-content/uploads/ngmn-logo-1.svgJuliya Naumova2024-07-02 09:30:442024-07-02 09:32:16Green future networks: A Roadmap to Energy Efficient Mobile Networks
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.
https://www.ngmn.org/wp-content/uploads/24_NGMN_GFN_Metering-in-Virtualised-RAD-Infrastructure_publication_cover.jpg17541240Mirellahttps://www.ngmn.org/wp-content/uploads/ngmn-logo-1.svgMirella2024-04-04 10:48:362024-04-11 12:18:28Green Future Networks: Metering in Virtualised RAN Infrastructure
In this publication “ITU-R Framework for IMT-2030: Review and Future Direction” a close alignment is observed between the IMT-2030 framework from ITU-R and NGMN’s vision for 6G. This close alignment covers vision, usage scenarios and essential capabilities, particularly related to practical and sustainable deployment and emphasising harmonised global standards for mobile networks.
NGMN goes on to provide recommendations and guidance on ITU-R aspects as it moves forward in the next stage of the IMT-2030 process. This latest publication marks the next step towards guidance for E2E requirements and sets an important framework for future technology discussions towards 6G.
This NGMN publication highlights how operators can assess the lifecycle environmental impact of their network infrastructure in terms of emissions, energy, and water footprint.
The report identifies the use of Lifecycle Assessment in relation to energy and emissions and demonstrates how to calculate Water Footprint. Based on these tools, strategies are outlined for how to manage and reduce the environmental impact by, for example, selecting and using materials in the design of network infrastructure that have lower emissions and energy requirements and by for example switching to data centre cooling methods that use less water.
The publication was developed with input from across the industry – with NGMN Partners representing operators, vendors, and research institutes.
Automation and Autonomous system Architecture Framework – Phase 2
//in Publications //by Juliya NaumovaThe mobile communications industry has been provided with new guidance on the building blocks needed for autonomous networks that encompass Artificial Intelligence (AI) thanks to the publication of NGMN’s ‘Automation and Autonomous system Architecture Framework – Phase 2’, released today.
The latest updates provide guidance and direction on the use cases, requirements, and architectural principles to embrace interoperable, multi-vendor and standards-based autonomous networks that will help to manage the increasing complexity of the evolving 5G Advanced ecosystem.
Green future networks: A Roadmap to Energy Efficient Mobile Networks
//in Publications //by Juliya NaumovaThis 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
//in Publications //by MirellaBeing “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.
ITU-R Framework for IMT-2030
//in Publications //by datenflussIn this publication “ITU-R Framework for IMT-2030: Review and Future Direction” a close alignment is observed between the IMT-2030 framework from ITU-R and NGMN’s vision for 6G. This close alignment covers vision, usage scenarios and essential capabilities, particularly related to practical and sustainable deployment and emphasising harmonised global standards for mobile networks.
NGMN goes on to provide recommendations and guidance on ITU-R aspects as it moves forward in the next stage of the IMT-2030 process. This latest publication marks the next step towards guidance for E2E requirements and sets an important framework for future technology discussions towards 6G.
Reducing Environmental Impact
//in Publications //by datenflussThis NGMN publication highlights how operators can assess the lifecycle environmental impact of their network infrastructure in terms of emissions, energy, and water footprint.
The report identifies the use of Lifecycle Assessment in relation to energy and emissions and demonstrates how to calculate Water Footprint. Based on these tools, strategies are outlined for how to manage and reduce the environmental impact by, for example, selecting and using materials in the design of network infrastructure that have lower emissions and energy requirements and by for example switching to data centre cooling methods that use less water.
The publication was developed with input from across the industry – with NGMN Partners representing operators, vendors, and research institutes.