€4m digital twin to integrate AI into 6G networks
The Luxembourg Institute of Science and Technology (LIST) is develop a digital twin to integrate machine learning into 6G mobile networks.
The €4m, three year 6G-TWIN project aims to create a real-time digital replica of the physical network infrastructure to create a sandbox in which it is possible to train models and test different scenarios before deploying them on physical network controllers.
European 6G roadmaps are looking at AI-native management system for complex networks that are sustainable, energy-efficient, and adaptable. Establishing a consistent unified communication and computing architecture requires unconventional methods, along with collaboration among standardization groups and industry leaders for practical market integration.
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“Each generation of mobile technology takes roughly a decade to evolve from conception to commercial deployment,” said Sébastien Faye, the project coordinator for 6G-TWIN.
“Starting from the first generations, which brought basic cellular connectivity, through 5G, which facilitates revolutionary applications like connected and automated mobility, each iteration introduces new capabilities to meet a demand that is continually growing. Networks are becoming increasingly complex and distributed, requiring a large variety of technologies to operate. With 6G, which is now on the horizon for around 2030, it is essential to design, experiment and standardize new network architectures with more intelligence and automation – which is what we will be proposing in this project.”
6G-TWIN will explore the concept of Network Digital Twinning (NDT) and its integration into future 6G systems”, says Faye. “6G will enable real-time interaction between physical networks and these digital copies, with the aim of optimizing various parameters, anticipating failures, improving energy efficiency and so on, paving the way for highly efficient and intelligent networks.”
The project also includes plans to create demonstrators that validate the concepts developed, adds Faye. These demonstrators encompass teleoperated driving and energy-efficient network distribution.
“By exploring these real-world applications, the project will not only contribute to the theoretical advancement of 6G but also demonstrate its practical feasibility thanks to a wide range of expertise from the 11 project partners,” he said.
The 6G-TWIN consortium includes imec, Politecnico di Bari, Technische Universität Dresden, and Université de Bourgogne as well as Accelleran, Research to Market Solution France and Ubiwhere and large industrial entities in Ericsson, Proximus Luxembourg and Viavi. From Luxembourg, the collaboration includes Proximus Luxembourg/Telindus, with whom LIST already has a collaboration agreement on the development of business use-cases based on advanced connectivity.
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