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European Researchers Develop AI-Native Wireless Networks With NVIDIA 6G Research Portfolio


NVIDIA Partners with European Researchers to Accelerate Development of AI-Native 6G Networks

  • NVIDIA partners with over 200 European researchers and universities to develop AI-native 6G networks.
  • The partnership aims to create next-generation wireless networks that are more intelligent, efficient, and reliable using artificial intelligence.
  • The NVIDIA 6G research portfolio provides tools and technologies for researchers to develop AI-native wireless networks.
  • Key projects include the development of an AI-native 6G network architecture by ETH Zurich and NVIDIA.
  • The University of Leeds is working on integrating large language models into RAN operations.
  • Europe has a long history of driving innovation in wireless networks, dating back to the 1987 development of GSM.
  • The partnership uniting universities, research institutions, and industry aims to create next-generation AI-native networks.
  • The NVIDIA 6G Developer Program has provided early access to advanced tools and technical support for over 2,000 researchers worldwide.



  • In a groundbreaking collaboration, NVIDIA has partnered with over 200 European researchers and universities to accelerate the development of AI-native 6G networks. The partnership aims to harness the power of artificial intelligence to create next-generation wireless networks that are more intelligent, efficient, and reliable.

    At the heart of this initiative is the NVIDIA 6G research portfolio, a comprehensive suite of tools and technologies designed to support researchers in developing AI-native wireless networks. The portfolio includes accelerated compute infrastructure, software libraries, and open-source offerings, providing researchers with the flexibility to choose the best tool for their mission.

    One of the key projects underway is the development of an AI-native 6G network architecture by ETH Zurich and NVIDIA. This project involves the creation of a new machine learning-based architecture called DUIDD (Deep Unfolded Iterative Detector Decoder), which was developed using NVIDIA Sionna to improve the amount of data that a base station can transmit or receive using information learned from its local environment.

    The University of Leeds is also working on an agentic architecture for integrating large language models into RAN operations. This research involves creating standardized frameworks for deploying agent-based architectures, establishing key performance indicators for benchmarking performance, and building templates for new agents to enhance performance and reduce operational costs.

    Europe's role in wireless networks dates back to the 1987 development of the Global System for Mobile Communications (GSM), a widely used standard for digital cellular communication. Today, the European Union continues to drive innovation through substantial governmental support and flagship initiatives such as the Smart Networks and Services Joint Undertaking (SNS) and the 6G Flagship project.

    These programs unite universities, research institutions, and industry to create next-generation AI-native networks, pioneering work in AI integration, sustainability, and security while educating future industry experts. Major European telecommunications vendors also play a vital role in shaping the vision and standards for 6G through their leadership and participation in major research consortia.

    The NVIDIA 6G Developer Program has provided early access to advanced tools, technical support, and a global community of innovators. Over 2,000 researchers across 85 countries have joined the program, leading to over 190,000 downloads of NVIDIA tools and 350+ citations in technical papers and journals.

    This partnership between NVIDIA and European researchers is expected to accelerate innovation in AI-native wireless networks, enabling new services, enhancing customer experiences, and promoting sustainability. The use of AI in telecoms will make our networks more intelligent, efficient, and reliable, and by equipping our world-leading academia and researchers with cutting-edge AI tools and training, we will accelerate innovation that improves the everyday digital experience for people across the country.

    In Finland, the University of Oulu is conducting research for wireless channel estimation using a real-time network digital twin that taps into synthetic lidar data. This project enables advanced development of AI and machine learning features for integrated sensing and communications (ISAC), a capability that allows the network itself to act as a sensor of the physical world to enhance operations.

    In France, OpenAirInterface (OAI) and NVIDIA are collaborating to advance AI-native wireless networks by integrating OAI's open-source virtualized and open RAN stack with the GPU-accelerated NVIDIA AI Aerial- and NVIDIA Sionna-based systems. This collaboration aims to enable researchers to innovate in 5G and 6G radio access networks using AI and machine learning at every layer.

    In Germany, Fraunhofer HHI is conducting groundbreaking research on neuromorphic wireless cognition for robotic control using the NVIDIA AI Aerial suite of accelerated computing platforms and software. This research involves an event-based camera that senses and captures robotic movements, and forwards the information to a neuromorphic processor. Neural network models are then used for decoding and gesture recognition to boost transmission over the base station, enhancing the quality of the connection.

    Rohde & Schwarz is also helping set new benchmarks in AI-powered wireless communication research with its latest milestone in neural receiver design and testing. This initiative integrates advanced digital twin technology and high-fidelity ray tracing to create a robust framework for testing 5G-Advanced and 6G neural receivers under real-world radio environments.

    The partnership between NVIDIA and European researchers is expected to have a significant impact on the development of AI-native 6G networks, enabling more efficient, accurate, and reliable wireless communication systems. As researchers continue to push the boundaries of what is possible with AI in telecoms, we can expect even more innovative solutions to emerge, improving the everyday digital experience for people across Europe.



    Related Information:
  • https://www.digitaleventhorizon.com/articles/European-Researchers-Develop-AI-Native-Wireless-Networks-With-NVIDIA-6G-Research-Portfolio-deh.shtml

  • https://blogs.nvidia.com/blog/europe-6g-research/

  • https://nvidianews.nvidia.com/news/nvidia-and-telecom-industry-leaders-to-develop-ai-native-wireless-networks-for-6g


  • Published: Wed Jun 11 16:50:01 2025 by llama3.2 3B Q4_K_M











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