Nokia and Partners Advance AI-RAN Development for 5G and Beyond

Nokia Spearheads AI-RAN Development with Industry Partners

Nokia, in collaboration with Nvidia and major telecom operators, is leading the charge in developing and implementing AI-powered Radio Access Networks (AI-RAN) for 5G and future 6G technologies. This initiative, announced at the Mobile World Congress 2025, aims to integrate artificial intelligence into RAN infrastructure, promising enhanced network efficiency, reduced costs, and new monetization opportunities for communication service providers (CSPs) 1

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Key Partnerships and Initiatives

Nokia has formed strategic alliances with several industry leaders to accelerate AI-RAN development:

1. Nvidia Collaboration: Nokia and Nvidia are evaluating multi-purpose accelerated computing infrastructure to enable AI-RAN capabilities 1

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2. KDDI Partnership: A research collaboration focusing on practical AI-RAN applications, including use cases and architectures for commercial viability 1

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3. SoftBank Integration: Showcasing the integration of AI workloads within the AI and RAN platform based on Red Hat OpenShift, managed through Nokia's MantaRay NM solution and SoftBank's AITRAS Orchestrator 1

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4. T-Mobile US Evaluation: Assessing AI-RAN architectures, accelerated computing for L1, and the integration of AI and RAN on shared cloud infrastructure 1

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AI-RAN Center and Alliance

To further advance AI-RAN development, Nokia is establishing an AI-RAN Center in Dallas. This facility will enable partners to test AI solutions in real-world network conditions and support the creation of innovative use cases 1

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Additionally, Nokia, along with other industry leaders, launched the AI-RAN Alliance in February 2024. This initiative aims to boost the integration of AI into cellular technology, bringing together members from technology, industry, and academic institutions 2

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Potential Impact and Future Outlook

The integration of AI into RAN infrastructure is expected to have far-reaching effects:

1. Network Optimization: AI-RAN can potentially enhance user experience, improve network quality, and reduce 5G network-related costs and power consumption through automation 1

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2. New Business Models: The technology could unlock new monetization opportunities for CSPs, enabling platform-as-a-service (PaaS) business models 1

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3. 6G Preparation: As the industry moves towards 6G, AI-RAN is seen as a crucial stepping stone. Tommi Uitto, President of Mobile Networks at Nokia, stated, "In practice, 6G will be AI-native with AI being considered right from the beginning of the design process" 2

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Industry Perspectives

The growing industry participation in AI-RAN development indicates strong interest in integrating AI with radio access networks. Remy Pascal, Senior Research Manager at Omdia, noted the increasing collaboration among operators and technology providers in exploring AI-RAN technologies, use cases, and business models 1

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As the telecom industry continues to evolve, the convergence of AI, RAN, and Cloud is not only changing how radio access networks are built and monetized but also creating unprecedented opportunities for the future of wireless communication 2

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