{"id":85890,"date":"2024-10-14T04:35:06","date_gmt":"2024-10-14T04:35:06","guid":{"rendered":"https:\/\/pakistaninewspaperlist.com\/news\/mavenir-innovates-with-intel-to-integrate-ai-in-mavenirs-commercial-open-ran-software\/"},"modified":"2024-10-14T04:35:06","modified_gmt":"2024-10-14T04:35:06","slug":"mavenir-innovates-with-intel-to-integrate-ai-in-mavenirs-commercial-open-ran-software","status":"publish","type":"post","link":"https:\/\/pakistaninewspaperlist.com\/news\/mavenir-innovates-with-intel-to-integrate-ai-in-mavenirs-commercial-open-ran-software\/","title":{"rendered":"Mavenir Innovates with Intel to Integrate AI in Mavenir\u2019s Commercial Open RAN Software"},"content":{"rendered":"
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NEW DELHI, India, Oct. 14, 2024 (GLOBE NEWSWIRE) — Mavenir, the cloud-native network infrastructure provider building the future of networks, is working with Intel to pioneer innovative AI\/ML Open RAN solutions to improve challenging cell edge problems that impact user Quality of Experience.<\/p>\n

Mavenir has made a significant breakthrough in Open RAN technology by collaborating with Intel to demonstrate an AI-enabled TDD 32TRX massive Multiple-Input Multiple-Output (MIMO) solution. The company has successfully integrated Intel\u2019s RAN AI model for beam management and FlexRAN\u2122 reference software with Mavenir’s commercial mMIMO vDU software to deliver enhanced network performance and user experience. Intel’s RAN AI model \u2013 trained on 3GPP channel model datasets \u2013 optimizes beam weights, direction, and number of layers to maximize UE throughput. The combined Mavenir and Intel solution is designed to improve performance in challenging radio environments \u2013 such as cell edges and high-rise building scenarios \u2013 and is applicable for both TDD and FDD deployments.<\/p>\n

Bejoy Pankajakshan, Mavenir’s Chief Technology and Strategy Officer, emphasized the significance of this technology integration, stating: “This latest collaboration between Mavenir and Intel highlights the compelling potential of AI\/ML for enhancing Open RAN capabilities, promising greater network efficiency and an enhanced user experience. The integration of third-party innovative AI\/ML algorithms with Mavenir’s leading-edge commercial RAN software suite opens many exciting possibilities ahead to usher in faster innovation and advance the 5G Open RAN ecosystem. Our leadership in the Open RAN industry is enabling transformative partnerships such as our collaboration with Intel, which are paving the way for unique solutions to optimize network capabilities for the benefit of operators and end-users.\u201d<\/p>\n

\u201cIntel Xeon processors\u2019 integrated AI acceleration, combined with the Intel vRAN AI Development Kit, enables operators to run a variety of RAN AI workloads using the CPU-based equipment they already have,\u201d said Cristina Rodriguez, Vice President and General Manager of the Comms Solutions Group at Intel. \u201cOur collaboration and demonstration with Mavenir highlight AI\u2019s significant potential to enrich customers\u2019 user experience and provide mobile operators with a competitive differentiator.\u201d<\/p>\n

This AI-enabled beam management solution will be demonstrated at the upcoming India Mobile Congress (#IMC2024) 15-18 October on Intel\u2019s stand, booth no. 3.3 in Hall 3.<\/p>\n

*Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries.<\/p>\n

About Mavenir:<\/strong><\/p>\n

Mavenir is building the future of networks today with cloud-native, AI-enabled solutions which are green by design, empowering operators to realize the benefits of 5G and achieve intelligent, automated, programmable networks. As the pioneer of Open RAN and a proven industry disruptor, Mavenir\u2019s award-winning solutions are delivering automation and monetization across mobile networks globally, accelerating software network transformation for 300+ Communications Service Providers in over 120 countries, which serve more than 50% of the world\u2019s subscribers. For more information, please visit\u00a0www.mavenir.com<\/strong><\/a>.<\/p>\n

Mavenir PR Contact:<\/strong>
Emmanuela Spiteri
PR@mavenir.com<\/strong><\/a><\/p>\n

\n <\/div>\n","protected":false},"excerpt":{"rendered":"

NEW DELHI, India, Oct. 14, 2024 (GLOBE NEWSWIRE) — Mavenir, the cloud-native network infrastructure provider building the future of networks, is working with Intel to pioneer innovative AI\/ML Open RAN solutions to improve challenging cell edge problems that impact user Quality of Experience. Mavenir has made a significant breakthrough in Open RAN technology by collaborating […]<\/p>\n","protected":false},"author":2,"featured_media":85891,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"fifu_image_url":"https:\/\/ml.globenewswire.com\/Resource\/Download\/851c963d-50a8-4f15-9da7-ea94599dc824","fifu_image_alt":"","footnotes":""},"categories":[208],"tags":[],"class_list":["post-85890","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-globenewswire"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t