Nokia and Inria extend research partnership to address future challenges facing networks and distributed computing

Nokia and: Inria: announced the renewal of their common: research: lab for: the next four years:. The: new phase: was launched at an event in Paris on: 14:00 November in: the: presence of Thierry Klein, President, Nokia Bell Labs Solutions: Research, and Bruno Sports, Inria: CEO:

Launched in 2008, the joint research lab brings together permanent scientists from the two partners with a newly created pool of PhD and post-doctoral scientists, with the strategic aim to solve the key scientific challenges linked to 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 digitally connected world.

Future networks will have to connect digital, physical and human worlds to unleash the innate potential of human beings in the metaverse era. 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 heightened 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 critical attributes, with zero-touch management and orchestration achieved though artificial intelligence (AI) and machine learning (ML)-driven autonomy. Devices 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. Diversified applications and services will need stringent quality of service requirements, enabled by data/AI-native networks in a highly distributed computing and data environment.

The Nokia Bell Labs-Inria collaboration will contribute to solving these challenges by addressing three aspects.

  • Distributed learning over 6G. with the aim of enabling diverse AI applications operating in a distributed and cooperative way all over the system (core, network, edge, device), continuously learning and evolving.
  • AI-based smart network management. with the aim of providing analytics and trustworthy AI/ML for 5G-Advanced and 6G zero touch mobile network resource management.
  • Network aware industrial applications: with the aim of optimizing and adapting industrial applications, such as cloud based robotic applications based on network performance and availability.

Thierry Klein, President of Nokia Bell Labs Solutions Research, said, “Inria and Nokia Bell Labs have enjoyed a rich and fruitful relationship for more than 20 years. Inria is part of the Bell Labs Distinguished Academic Partners program, engaging the best and brightest minds from the world’s top universities and academic organizations to collaborate with us on transforming human existence. This new phase of our collaboration addresses the strategic challenges of the future digital connected world infrastructure and applications, and we are excited about the collaborative advantages 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 pleased that we are strengthening our partnership. For Inria, working with a world leader with a European footprint such as Nokia is one of our priorities, whether to position ourselves on major scientific topics, to maintain joint 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 a joint strategy and roadmap. Together with Nokia, we will work on the new frontiers for 6G mobile networks, which pose new technological and theoretical challenges, where software design and data exchange must be jointly addressed.