Nokia and Inria extend their research partnership to meet the future challenges of networks and distributed computing | VanillaPlus – The Global Voice of Telecom IT

Paris, France – nokia and Inria announced the renewal of their joint research laboratory for the next four years. The new phase was launched at an event in Paris on November 14 in the presence of Thierry Klein, President, Nokia Bell Labs Solutions Research, and Bruno Sportisse, CEO of Inria.

Launched in 2008, the joint research laboratory brings together permanent scientists from both partners with a newly created pool of doctoral and post-doctoral scientists, with the strategic aim of solving the main scientific challenges related to the evolution of networks and applications of networks. The joint research focuses on the benefits of network and distributed resources for contextual and personalized experiences in the connected digital world.

Future networks will need to connect the digital, physical and human worlds to unlock the innate potential of human beings in the age of the metaverse. Networks will need to have the ability to optimize for a very wide range of customer-specific needs, for example, in industrial applications. The network will develop enhanced sensing capabilities and increased context awareness in terms of user status and intent, dynamically and automatically adapting connectivity to meet user needs.

The networks will be 100% cloud-native, supporting a distributed architecture. Efficiency, resilience and agility are key attributes, with zero-touch management and orchestration achieved through artificial intelligence (AI) and machine learning (ML)-based autonomy. Devices may not be able to meet all computing needs and will rely on a combination of edge cloud and local computing close to the device, resulting in a massively distributed computing architecture. Diversified applications and services will require stringent QoS requirements enabled by native data/AI networks in a highly distributed computing and data environment.

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

• Distributed Learning on 6G: with the goal of enabling various AI applications to operate in a distributed and cooperative manner across the system (core, network, edge, device), continuously learning and evolving.
• Smart AI-based network management: with the aim of providing analytics and reliable AI/ML for 5G-Advanced and 6G zero touch mobile network resource management.
• Network-sensitive 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 of Nokia Bell Labs Solutions Research, said: “Inria and Nokia Bell Labs have had a rich and fruitful relationship for more than 20 years. Inria is part of the Bell Labs Distinguished Academic Partners program, engaging the brightest minds from the world’s top universities and academic organizations to collaborate with us to transform 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 continued partnership for Nokia, our industry and society to enable enhanced experiences in a digitalized world. .

Bruno Sportisse, CEO of Inria, said: “Nokia Bell Labs is one of our major strategic partners and I am happy that we are strengthening our partnership. For Inria, working with a world leader with a European footprint like Nokia is one of our priorities, whether to position ourselves on major scientific topics, to maintain common scientific and technological excellence, or to have an impact on the scale of our work. The gradual evolution of our partnership also shows the importance of building long-term relationships based on trust, within the framework of a common strategy and roadmap. Together with Nokia, we will work on the new frontiers of 6G mobile networks, which pose new technological and theoretical challenges, where software design and data exchange must be tackled jointly.

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