{"id":538278,"date":"2021-06-30T12:58:00","date_gmt":"2021-06-30T12:58:00","guid":{"rendered":"https:\/\/www.capgemini.com\/gb-en\/?post_type=press-release&#038;p=538278"},"modified":"2025-03-10T09:02:36","modified_gmt":"2025-03-10T09:02:36","slug":"industrys-first-machine-learning-based-ran-application-boosts-spectral-efficiency-by-15","status":"publish","type":"press-release","link":"https:\/\/www.capgemini.com\/gb-en\/news\/press-releases\/industrys-first-machine-learning-based-ran-application-boosts-spectral-efficiency-by-15\/","title":{"rendered":"Industry\u2019s first machine learning-based RAN application boosts spectral efficiency by 15%"},"content":{"rendered":"\t\t<div class=\"wp-block-cg-blocks-hero-press-release\">\n\t\t\t<header class=\"header-hero-press-release\" role=\"main\" id=\"main-content-press-release\">\n\t\t\t\t<div class=\"container\">\n\t\t\t\t\t<div class=\"hero-press-release\">\n\t\t\t\t\t\t<div class=\"hero-press-release-content-wrapper\">\n\t\t\t\t\t\t\t<div class=\"row\">\n\t\t\t\t\t\t\t\t<div class=\"col-12\">\n\t\t\t\t\t\t\t\t\t<div class=\"header-title\">\n\t\t\t\t\t\t\t\t\t\t<h1>\n\t\t\t\t\t\t\t\t\t\t\tIndustry\u2019s first machine learning-based RAN application boosts spectral efficiency by 15%\t\t\t\t\t\t\t\t\t\t<\/h1>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"header-description\">\n\t\t\t\t\t\t\t\t\t\t<p><\/p>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"header-date\">\n\t\t\t\t\t\t\t\t\t\t<span>Jun 30, 2021<\/span>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/header>\n\t\t<\/div>\n\t\t\n\n\n<section class=\"wp-block-cg-blocks-intro-para undefined section section--intro\"><div class=\"intro-para\"><div class=\"container\"><div class=\"row\"><div class=\"col-12 col-md-1\"><nav class=\"article-social\"><ul class=\"social-nav\"><li class=\"ip-order-fb\"><a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https:\/\/www.capgemini.com\/gb-en\/news\/press-releases\/industrys-first-machine-learning-based-ran-application-boosts-spectral-efficiency-by-15\/\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-fb\"><\/i><span class=\"sr-only\">Facebook<\/span><\/a><\/li><li class=\"ip-order-li\"><a href=\"https:\/\/www.linkedin.com\/sharing\/share-offsite\/?url=https:\/\/www.capgemini.com\/gb-en\/news\/press-releases\/industrys-first-machine-learning-based-ran-application-boosts-spectral-efficiency-by-15\/\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><span class=\"sr-only\">Linkedin<\/span><\/a><\/li><\/ul><\/nav><\/div><div class=\"col-12 col-md-11 col-lg-10\"><h2 class=\"intro-para-title\"><strong>Barcelona, June 30, 2021 \u2013 <a href=\"https:\/\/www.capgemini.com\/gb-en\/\" target=\"_blank\" rel=\"noreferrer noopener\">Capgemini<\/a> announced today a breakthrough solution giving mobile operators a significant advantage to monetise 5G services faster. Entitled \u201cProject Marconi\u201d, the solution conforms to O-RAN (Open Radio Access Network) guidelines to maximise spectrum efficiency.<\/strong> <strong>The solution intelligently boosts subscriber quality of experience (QoE) with real-time predictive analytics.<\/strong><\/h2><\/div><\/div><\/div><\/div><\/section>\n\n\n\n<section class=\"wp-block-cg-blocks-group undefined section section--article-content\"><div class=\"article-main-content\"><div class=\"container\"><div class=\"row\"><div class=\"col-12 col-md-11 col-lg-10 offset-md-1 offset-lg-1\"><div class=\"article-text article-quote-text\">\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Project Marconi is the industry\u2019s first Artificial Intelligence \/ Machine Learning (AI\/ML) based radio network application for 5G Medium Access Control (MAC) scheduler. Optimised with Intel AI Software and 3<sup>rd<\/sup> Gen Intel Xeon Scalable processors.<\/p>\n<\/blockquote>\n\n\n\n<p>Network providers globally have invested heavily in spectrum and are looking for solutions to develop and gain 5G services faster. According to the Global Mobile Suppliers Association, the total value of spectrum auctions reached over <a href=\"https:\/\/gsacom.com\/paper\/spectrum-pricing-january-2021-global-update\/\" target=\"_blank\" rel=\"noreferrer noopener\">$27 billion in 2020<\/a>. Capgemini\u2019s solution on Intel Architecture increases the amount of traffic each cell can handle. It allows operators to serve more subscribers and deliver an outstanding experience, while launching new Industry 4.0 services such as enhanced Mobile Broadband (eMBB) and Ultra Reliable Low Latency Communications (URLLC) use cases.<\/p>\n\n\n\n<p>Walid Negm, Chief Research and Innovation Officer at Capgemini Engineering said, \u201c<em>Our teams worked closely with Intel to create a truly innovative solution that can really move the needle for operators. We gathered and utilised over one terabyte of data and conducted countless test runs with NetAnticipate5G to fine-tune the predictive analytics to meet diverse operator requirements. In short, machine learning can be deployed for intelligent decision-making on the RAN without any additional hardware requirement. This makes it cost efficient in the short run and future proof in the long run as we move into Cloud Native RAN implementations<\/em>.\u201d<\/p>\n\n\n\n<p>Cristina Rodriguez, VP of Wireless Access Network Division at Intel said, \u201c<em>Our 3rd Gen Intel Xeon Scalable processors with built-in AI acceleration provide high performance for deep learning on the Net Anticipate 5G platform. Together, our collaboration delivered ultra-fast inference data to enhance the Open-Source ML libraries resulting in an intelligent RAN that can predict and quickly react to subscriber coverage requirements while reducing TCO<\/em>.\u201d<\/p>\n\n\n\n<p>Capgemini deployed its NetAnticipate5G and RATIO O-RAN platform to introduce advanced AI\/ML techniques. The AI powered predictive analytical solution forecasts and assigns the appropriate MCS (modulation and coding scheme) values for signal transmission through forecasting of the user signal quality and mobility patterns accurately. In this way, the RAN can intelligently schedule MAC resources to achieve up to 40% more accurate MCS prediction and yield to 15% better spectrum efficiency in the case studies and testing. As a result, it delivers faster data speeds, better and more consistent QoE to subscribers and robust coverage for use cases that rely on low latency connectivity such as robotics-based manufacturing and V2X (vehicle-to-everything).<\/p>\n\n\n\n<p>Project Marconi will be demonstrated live at <a href=\"https:\/\/www.intel.com\/content\/www\/us\/en\/events\/mobile-world-congress.html\" target=\"_blank\" rel=\"noreferrer noopener\">Intel virtual booth<\/a>&nbsp; and <a href=\"https:\/\/www.virtualexhibition.o-ran.org\/classic\/generation\/2021\/category\/intelligent-ran-control-demonstrations\/sub\/intelligent-control\/88\" target=\"_blank\" rel=\"noreferrer noopener\">O-RAN virtual booth<\/a> during MWC 2021. More information can be found on <a href=\"https:\/\/capgemini-engineering.com\/uk\/en\/industries\/communications\/marconi-project\/\" target=\"_blank\" rel=\"noreferrer noopener\">our website<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-about-capgemini\">About Capgemini<\/h2>\n\n\n\n<p>Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organisation of 270,000 team members in nearly 50 countries. With its strong 50 year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of \u20ac16 billion.<\/p>\n\n\n\n<p>Get The Future You Want |&nbsp;<a href=\"https:\/\/www.capgemini.com\/gb-en\/#_blank\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.capgemini.com\/gb-en\/<\/a><\/p>\n\n\n\n<p><em>Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries.&nbsp;<\/em><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/section>\n\n\n<div class=\"wp-block-cg-blocks-cg-block-related-content\"><section class=\"relatedContentBlock\"><div class=\"container\"><div class=\"row\"><div class=\"content-title col-12 col-md-8\"><h2 class=\"related-content-heading\">Related News<\/h2><\/div><\/div><div class=\"row relatedContent\"><div class=\"col-lg-4 col-md-6 col-xs-12\">\n\t\t\t\t\t\t\t<div class=\"box\">\n\t\t\t\t\t\t\t\t<a aria-label=\"Read more about Shareholders\u2019 Meeting of May 20, 2026\" 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This site is optimized with the Yoast SEO Premium plugin v22.8 (Yoast SEO v22.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Industry\u2019s first machine learning-based RAN application boosts spectral efficiency by 15% - Capgemini UK<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.capgemini.com\/gb-en\/news\/press-releases\/industrys-first-machine-learning-based-ran-application-boosts-spectral-efficiency-by-15\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Industry\u2019s first machine learning-based RAN application boosts spectral efficiency by 15%\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.capgemini.com\/gb-en\/news\/press-releases\/industrys-first-machine-learning-based-ran-application-boosts-spectral-efficiency-by-15\/\" 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