Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

ITU-T M.3381 - Requirements for energy saving management of 5G radio access network (RAN) systems with artificial intelligence (AI)



Recommendation ITU-T M.3381 provides requirements for energy saving management of a 5G radio access network (RAN) system with artificial intelligence (AI). Recommendation ITU-T M.3381 explains the requirements of using AI technology to achieve energy saving management for communication units and virtualized hardware resources of a 5G RAN system, via an element management system (EMS) and open interfaces provided by vendors, from the operation support system (OSS) level. In addition, this Recommendation includes process recommendations for sending intelligent energy saving strategies from OSS to EMS and then to wireless equipment. This Recommendation describes functional requirements for energy saving management of 5G RAN system with AI, and use cases of energy saving management of 5G RAN system with AI. Copyright © ITU 2008 All Rights Reserved

The information about this standard has been compiled by the AI Standards Hub, an initiative dedicated to knowledge sharing, capacity building, research, and international collaboration in the field of AI standards. You can find more information and interactive community features related to this standard by visiting the Hub’s AI standards database here. To access the standard directly, please visit the developing organisation’s website.

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  • System architecture
  • Data collection
  • Data processing
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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.