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CENTRIC Open-Source Repositories

The CENTRIC project provides open datasets and training environments to support researchers and developers exploring emerging ML techniques in wireless communications.

Aiming to enable sustainable user-centric 6G networks with an AI-native Air Interface, the project adopts a modular, AI-driven approach to wireless connectivity. By prioritizing users’ communication needs and environmental constraints, CENTRIC advances ML applications across physical and MAC networking layers. This effort has resulted in several open-source repositories and datasets, enabling the research community to utilize CENTRIC’s findings and validate new solutions.

CENTRIC in key numbers

What is CENTRIC?

CENTRIC is a co-funded R&D&I European project that proposes leveraging AI techniques through a top-down, modular approach to wireless connectivity that puts the users’ communication needs and environmental constraints at the centre of the network stack design. AI techniques will be used to create and customize tailor-made waveforms, transceivers, signalling, protocols and RRM procedures to support these requirements. This is the user-centric AI Air Interface (AI-AI) that CENTRIC will enable.

The results of CENTRIC will be validated and demonstrated in laboratory prototypes. Its breakthroughs will enable future 6G use cases, such as self-driving vehicles, the internet of nano bio-things, or multi-sensory holographic communications.

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CENTRIC flyer

Latest News

Fifth plenary meeting of the CENTRIC project in Nokia, France

The CENTRIC project held its 5th plenary meeting successfully from the 16th to the 18th of January 2024 in the new Nokia buildings in Paris-Massy. These two and a half days were full of thriving discussions between the partners, but it was also an important time for team-building! We would...
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Read about Second Edition newsletter about the CENTRIC project progress!

  CENTRIC Project is proud to share the second edition of its 2023 newsletter presenting the project's progress and results after almost one year of the project lifetime. In this newsletter edition, we present selected project achievements on particular aspects of designing the novel CENTRIC AI-supported air interface, followed by...
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NVIDIA neural network (NN)-based multiuser multiple-input multiple-output (MU-MIMO) receiver

One of the objectives of the CENTRIC project is to develop a user-centric communication stack that can be tailored to user-specific needs. For this, we introduce a neural network (NN)-based multiuser multiple-input multiple-output (MU-MIMO) receiver with 5G New Radio (5G NR) physical uplink shared channel (PUSCH) compatibility. To showcase the...
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NOKIA Separate Training Framework for AIML-based CSI Compression

NOKIA Separate Training Framework for AIML-based CSI Compression Channel State Information (CSI) acquisition at the Base Station (BS) received from each User Equipment (UE) is critical to sweep its beam towards the corresponding UE accurately. However, transmitting uncompressed CSI in limited-rate feedback channels is impossible due to the significant signalling...
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