Nokia and Inria are expanding their research partnership to address future challenges in networking and distributed computing

nokia f Enria about renewal subscriber Research laboratory for the next four years. The new stage It was launched at an event In Paris on me 14 november in The In the presence of Thierry Klein, president, Nokia Bell Labs Solutions Search, Bruno SportysAnd the Enria Executive Director.

Launched in 2008, the joint research laboratory brings together the long-term scientists of the two partners with a newly created group of doctoral and postdoctoral scientists, with the strategic aim of solving key scientific challenges associated with the evolution of networks and network applications. The focus of the joint research is on the benefits of network and distributed resources for contextual and personalized experiences in the connected digital world.

The networks of the future will have to connect the digital, physical, and human realms to unleash the innate potential of humans in the metaverse era. Networks will need to be able to be optimized for a very wide range of customer specific needs, for example, in industrial applications. The network will develop high sensing capabilities, increase context awareness in terms of user status and purpose, and adapt communication dynamically and automatically to meet user needs.

Networks will be 100% cloud native, supporting a distributed architecture. Efficiency, flexibility and agility are critical attributes, with touchless management and coordination through artificial intelligence (AI) and machine learning (ML) based autonomy. Hardware may not be able to meet all computing needs and will rely on a combination of edge cloud and local near-device computing, resulting in a massively distributed computing architecture. Diverse applications and services will need stringent QoS requirements, enabled by AI native data/networks in a highly distributed computing and data environment.

The Nokia Bell Labs-Inria collaboration will solve these challenges by addressing three aspects:

  • 6G Distributed Learning: With the goal of enabling diverse AI applications that operate in a distributed and collaborative manner throughout the system (core, network, edge, device), continuous learning and evolution.
  • Smart network management based on artificial intelligence: With the goal of providing trustworthy analytics and AI/ML to manage 5G-Advanced and 6G Zero touch mobile network resources.
  • Network conscious industrial applications: With the aim of optimizing and adapting industrial applications, such as cloud-based robotics applications based on network performance and availability.

Thierry Klein, President, Nokia Bell Labs Solutions Research, said: “Inria and Nokia Bell Labs have enjoyed a rich and productive relationship for more than 20 years. Inria is part of the Bell Labs Academic Excellence Program, engaging the best and brightest minds from the world’s top universities and academic organizations to collaborate with us in transforming human existence. This new phase of our collaboration addresses the strategic challenges of the future infrastructure and applications of the connected digital world, and we are excited about the collaborative benefits of this ongoing partnership for Nokia, our industry and society to enable enhanced experiences in a digital world.”

Bruno Sportis, CEO of Inria, said, “Nokia Bell Labs is one of our key strategic partners and I am delighted that we are strengthening our partnership. For Inria, working with a world-leading company with a European footprint like Nokia is one of our priorities, whether to position ourselves on key scientific topics, or To maintain common scientific and technological excellence, or to influence the scope of our work.The gradual development of our partnership also shows the importance of building long-term relationships based on trust, within a common strategy and roadmap.Together with Nokia, we will work on new horizons of 6G mobile networks, which constitute New technical and theoretical challenges, as software design and data exchange must be addressed jointly.

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