{"id":164519,"date":"2025-03-30T07:11:11","date_gmt":"2025-03-30T07:11:11","guid":{"rendered":"https:\/\/peraltafinancing.com\/5g-technology\/ai-ml-in-3gpp-progress-challenges-and-the-road-to-6g\/"},"modified":"2025-03-30T07:11:11","modified_gmt":"2025-03-30T07:11:11","slug":"ai-ml-in-3gpp-progress-challenges-and-the-road-to-6g","status":"publish","type":"post","link":"https:\/\/fivemor.com\/?p=164519","title":{"rendered":"AI\/ML in 3GPP: Progress, Challenges, and the Road to 6G"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<p>The ETSI Artificial Intelligence (AI) <a href=\"https:\/\/www.etsi.org\/events\/2277-etsi-artificial-intelligence-conference\" target=\"_blank\">Conference<\/a> \u2013 Status, Implementation and Way Forward of AI Standardization \u2013 took place from 5-7 February 2024 at ETSI, Sophia Antipolis, France. This in-person event provided a valuable platform for experts and peers to exchange insights, explore demos and posters, and discuss AI and Machine Learning (ML) within the Information and Communications Technology (ICT) sector.<\/p>\n<p>The event agenda is available <a href=\"https:\/\/www.etsi.org\/events\/2277-etsi-artificial-intelligence-conference#pane-2\/\" target=\"_blank\">online<\/a>, and all presentations can be accessed <a href=\"https:\/\/docbox.etsi.org\/Workshop\/2024\/02_ETSIAICONFERENCE\/\" target=\"_blank\">here<\/a>.<\/p>\n<div class=\"separator\" style=\"clear: both;text-align: center\"><a href=\"https:\/\/blogger.googleusercontent.com\/img\/b\/R29vZ2xl\/AVvXsEjwu_YnsHyh1ipESB7eYAL6lx4nDBNDoLKAAtp2nxB0agmuP3Rbfv-w-CQZEGG4vE4G2MKRC0pabxb_mLGdXcdjU25wa_bazjrrM3H94vCIVSDBD-BFSYgjMVcufFe8OLyVevj-LPGRtTWmuVXlF-gVKTxeU_kgyFiLnKgNSHLJP7Kmdsn2es2g8i-fnXQ\/s1920\/3GGFocus_MLworkflow.jpg\" style=\"margin-left: 1em;margin-right: 1em\"><img loading=\"lazy\" decoding=\"async\" border=\"0\" data-original-height=\"1080\" data-original-width=\"1920\" height=\"360\" src=\"https:\/\/blogger.googleusercontent.com\/img\/b\/R29vZ2xl\/AVvXsEjwu_YnsHyh1ipESB7eYAL6lx4nDBNDoLKAAtp2nxB0agmuP3Rbfv-w-CQZEGG4vE4G2MKRC0pabxb_mLGdXcdjU25wa_bazjrrM3H94vCIVSDBD-BFSYgjMVcufFe8OLyVevj-LPGRtTWmuVXlF-gVKTxeU_kgyFiLnKgNSHLJP7Kmdsn2es2g8i-fnXQ\/w640-h360\/3GGFocus_MLworkflow.jpg\" width=\"640\" \/><\/a><\/div>\n<h4 style=\"text-align: left\">AI\/ML Work in 3GPP: Insights from Dr. Juan Montojo<\/h4>\n<p>Dr. Juan Montojo, a leading figure in 3GPP TSG Radio Access Networks (RAN) and rapporteur for the work item Artificial Intelligence\/Machine Learning for NR air interface (NR_AIML_air), delivered an insightful presentation titled &#8220;Overview of AI\/ML related work in 3GPP.&#8221; His talk covered the current status of AI\/ML in 3GPP and prospects as 6G priorities begin to take shape.<\/p>\n<p>Further details are available in the <a href=\"https:\/\/www.3gpp.org\/news-events\/3gpp-news\/ai-ml-2025\" target=\"_blank\">3GPP post<\/a> and <a href=\"https:\/\/docbox.etsi.org\/Workshop\/2025\/02_AICONFERENCE\/SESSION05\/3GPPRAN_MONTOJO_JUAN_QUALCOMM.pdf\" target=\"_blank\">presentation<\/a>.<\/p>\n<h4 style=\"text-align: left\">Focus Areas in 3GPP AI\/ML Work<\/h4>\n<p>Dr. Montojo outlined the critical focus areas for AI\/ML within 3GPP:<\/p>\n<\/p>\n<ul style=\"text-align: left\">\n<li><b>Infrastructure and Operator Control<\/b>: Ensuring that operators maintain control over AI\/ML implementations within their networks.<\/li>\n<li><b>Performance Monitoring<\/b>: Establishing standards for monitoring AI\/ML model performance, activation, and deactivation.<\/li>\n<li><b>Air Interface Extensions<\/b>: Developing extensions to support AI\/ML-specific use cases.<\/li>\n<li><b>Data Standards<\/b>: Defining standardized processes for data collection, AI\/ML model transfer, and delivery.<\/li>\n<li><b>Testing and Interoperability<\/b>: Ensuring consistent device behavior and interoperability in AI\/ML deployments.<\/li>\n<\/ul>\n<h4 style=\"text-align: left\">Principles Guiding AI\/ML in 3GPP<\/h4>\n<p>The AI\/ML work in 3GPP is grounded in principles that echo regulatory frameworks like the European Commission\u2019s AI Act:<\/p>\n<\/p>\n<ul style=\"text-align: left\">\n<li><b>Data Security and Integrity<\/b>: Safeguarding data confidentiality and ensuring integrity.<\/li>\n<li><b>Privacy and User Consent<\/b>: Respecting data privacy and user anonymity, with explicit consent mechanisms.<\/li>\n<li><b>Operator Control<\/b>: Empowering operators with control over data collection, transfer initiation, termination, and management.<\/li>\n<li><b>Future-Proof Design<\/b>: Ensuring the system design is extendable to accommodate future advancements.<\/li>\n<\/ul>\n<h4 style=\"text-align: left\">AI\/ML Training Models: Current Practices and Future Directions<\/h4>\n<\/p>\n<ul style=\"text-align: left\">\n<li><b>Off-line Training<\/b>: Currently, AI\/ML models in 3GPP assume off-line training, where models are fully trained before deployment in commercial networks.<\/li>\n<li><b>On-line Training and Federated Learning<\/b>: Future 6G developments may introduce on-line training. 3GPP WG SA2 is already exploring federated learning to enhance network automation.<\/li>\n<\/ul>\n<h4 style=\"text-align: left\">Challenges and Opportunities for AI\/ML in Cellular Networks<\/h4>\n<p>Dr. Montojo emphasized both the strengths and limitations of AI\/ML in cellular networks:<\/p>\n<\/p>\n<ul style=\"text-align: left\">\n<li><b>Strengths<\/b>: AI\/ML excels in tackling complex, non-linear problems that traditional methods struggle with. It enhances localized, data-driven decision-making.<\/li>\n<li><b>Challenges<\/b>: High energy consumption remains a concern for both network and device sides. Standardization must balance flexibility with technical consistency.<\/li>\n<\/ul>\n<h4 style=\"text-align: left\">The Path Forward: AI\/ML in 6G<\/h4>\n<p>AI\/ML is expected to become pervasive in 6G, influencing all aspects of system design and operation. Notable expectations include:<\/p>\n<\/p>\n<ul style=\"text-align: left\">\n<li><b>Rel-21 Specifications<\/b>: AI\/ML will be incorporated from the outset, supporting evolving use cases and dynamic requirements.<\/li>\n<li><b>Flexible Standardization<\/b>: Future specifications may be less rigid, enabling AI\/ML to drive optimization through data-driven parameterization.<\/li>\n<\/ul>\n<h4 style=\"text-align: left\">Conclusion<\/h4>\n<p>AI\/ML&#8217;s integration into 3GPP workstreams is advancing steadily, laying the groundwork for significant contributions to 6G networks. While AI\/ML models themselves are not being standardized, the supporting frameworks around data collection, model management, and interoperability are set to shape the future of cellular technology.<\/p>\n<p>For anyone invested in AI\/ML&#8217;s role in telecoms, understanding these foundational steps is essential as we move towards a more automated, intelligent, and adaptable network landscape.<\/p>\n<h4 style=\"text-align: left\">Related Posts<\/h4>\n<\/p>\n<ul style=\"text-align: left\">\n<li>The 3G4G Blog &#8211; <a href=\"https:\/\/blog.3g4g.co.uk\/2025\/01\/lessons-from-anrw-24-ai-and-cloud-in.html\">Lessons from ANRW \u201924: AI and Cloud in 5G\/6G Systems<\/a><\/li>\n<li>The 3G4G Blog: <a href=\"https:\/\/blog.3g4g.co.uk\/2024\/11\/ran-ai-ai-ran-and-open-ran.html\">RAN, AI, AI-RAN and Open RAN<\/a><\/li>\n<li>The 3G4G Blog: <a href=\"https:\/\/blog.3g4g.co.uk\/2024\/08\/3gpp-release-18-description-and-summary.html\">3GPP Release 18 Description and Summary of Work Items<\/a><\/li>\n<li>The 3G4G Blog: <a href=\"https:\/\/blog.3g4g.co.uk\/2023\/11\/aiml-and-other-ict-industry-trends-in.html\">AI\/ML and Other ICT Industry Trends in the coming decades<\/a><\/li>\n<li>The 3G4G Blog: <a href=\"https:\/\/blog.3g4g.co.uk\/2023\/10\/presentations-from-2nd-ieee-open-ran.html\">Presentations from 2nd IEEE Open RAN Summit<\/a><\/li>\n<li>The 3G4G Blog: <a href=\"https:\/\/blog.3g4g.co.uk\/2022\/08\/aiml-enhancements-in-5g-advanced-for.html\">AI\/ML Enhancements in 5G-Advanced for Intelligent Network Automation<\/a><\/li>\n<li>The 3G4G Blog: <a href=\"https:\/\/blog.3g4g.co.uk\/2022\/02\/what-is-role-of-ai-and-ml-in-open-ran.html\">What Is the Role of AI and ML in the Open RAN and 5G Future?<\/a><\/li>\n<li>The 3G4G Blog: <a href=\"https:\/\/blog.3g4g.co.uk\/2021\/11\/5g-advanced-flagship-features.html\">5G-Advanced Flagship Features<\/a><\/li>\n<li>Free 6G Training: <a href=\"https:\/\/www.free6gtraining.com\/2024\/11\/role-of-aiml-in-6g-ran-b6gs-2024.html\">Role of AI\/ML in 6G RAN &#8211; B6GS 2024<\/a><\/li>\n<li>Free 6G Training: <a href=\"https:\/\/www.free6gtraining.com\/2024\/11\/prof-emil-bjornson-explains-role-of-ai.html\">Prof. Emil Bj\u00f6rnson Explains The Role of AI in 6G Networks?<\/a>&nbsp;<\/li>\n<\/ul>\n\n","protected":false},"excerpt":{"rendered":"<p>The ETSI Artificial Intelligence (AI) Conference \u2013 Status, Implementation and Way Forward of AI Standardization \u2013 took place from 5-7 February 2024 at ETSI, Sophia Antipolis, France. This in-person event provided a valuable platform for experts and peers to exchange insights, explore demos and posters, and discuss AI and Machine Learning (ML) within the Information [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":164520,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12020],"tags":[16669,46456,11117,13500,2683],"dealstore":[],"offerexpiration":[],"class_list":["post-164519","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-5g-technology","tag-3gpp","tag-aiml","tag-challenges","tag-progress","tag-road"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI\/ML in 3GPP: Progress, Challenges, and the Road to 6G - Som2ny Network<\/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:\/\/fivemor.com\/?p=164519\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI\/ML in 3GPP: Progress, Challenges, and the Road to 6G - Som2ny Network\" \/>\n<meta property=\"og:description\" content=\"The ETSI Artificial Intelligence (AI) Conference \u2013 Status, Implementation and Way Forward of AI Standardization \u2013 took place from 5-7 February 2024 at ETSI, Sophia Antipolis, France. 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