AI智能总结
The IntelligentOperations guide Content 01.Our journey to break the energy curve...........................................................................................................4 02.The role of AI in RAN optimization..................................................................................................................62.1Accelerating AI in RAN for energy performance: The Telenor project..................................................................... 7 04.Ericsson´s versatile energy solutions adapted to CSPs needs................................................................ 134.1 Optus journey to improve energy performance with automation.............................................................................15 05.How Programmability can make networks more sustainable.............................................................. 17 5.15G Advanced software is a starting point to programmable networks................................................................195.2The three layers to improve energy performance.......................................................................................................205.3Telstra’s commitment: Enhancing user experience with sustainability...............................................................235.4DNB is enhancing Malaysia´s 5G network with Automated Energy Saver........................................................255.5Swisscom 5G journey commitment to performance and sustainability..............................................................27 6.1Intelligent RAN Power Saving solution with a tailored approach..........................................................................306.2Umniah AI-based solution to improve energy efficiency in Jordan.......................................................................316.3Energy Efficiency Map..........................................................................................................................................................336.4Predictive Cell Energy Management Solution for multivendor RAN.....................................................................346.5TDC NET deploys Predictive Cell Energy Management for energy performance............................................36 07.Site solutions innovations beyond energy efficiency............................................................................... 38 08.Key takeaways and recommendations........................................................................................................ 42 Why operate intelligently.How can we make mobilenetworks able to save energyand improve user experience? Energy cost has become in the last years one of the highestoperating costs for communications service providers (CSPs).GSMA estimates that energy accounts for 45% of networkOPEX and 15–20% of total operational spend for an averagetelco [1]. This makes reducing energy consumption a targetfor both sustainability and network operation ambitions, andin the long term, a strategic criterion for CSPs evolution plans. This call for change brings great opportunities to CSPs. It ispossible to improve user experience while reducing energyconsumption. In this report you will discover the solutionsthat leading CSPs are implementing in their journey to highperforming programmable networks, more autonomous andenergy conscious. We are pushing the technology and hardware boundaries fora conscious energy use and user experience targets.Our vision of programmable networks offers a dynamic andflexible framework that allows for real-time adjustmentsand optimizations based on current network conditionsand demands. By leveraging 5G advanced software [2]and automation powered with AI, these networks canintelligently manage resources, ensuring that energyconsumption is minimized without compromisingperformance or user experience. However, many CSPs still hesitate to activate energy-saving software solutions. This is due mainly to thepotential risk of impacting traditional network performanceindicators and the complexity of the features configuration(based on multiple parameters and thresholds). With thetraditional approach, CSPs will not be able to control energyconsumption to achieve their targets. CSPs must evolve howto plan, deploy, and run mobile networks. “Sustainability and energy efficiency are key for designing mobile networks today.The programmability of the high-performing network will enable its evolution into an intent-driven, autonomous system, capable of supporting diverse service needs. This transformationwill be powered by AI”. Erik Ekudden SVP Head of GF Technology & CTO, Ericsson “Just like an organism, networks will never waste their resources and energy. When resourcesare not needed, they’ll sleep to preserve energy. These networks will be intent-based savingenergy and securing seamless user experience at the same time”. Sibel TombazHead of PL Cloud & Purpose-built 5G RAN, Ericsson