Accellerating digital transformation in Europe by Intelligent NETwork automation

Project Key Information

Project Status: running

Start Date: June 2021

End Date: August 2024

Budget (total): 28.748 M€

Effort:  236.2 PY

Project-ID: C2019/3-3

Project Coordinator

Name: Arnaud Dupas

Company: Nokia

Country: France


Project Consortium

Nokia Bell Labs France, France

University Rennes 1, France

VectraWave, France

Alterway, France, France

Umanis, France

Telecom Paris/Institut Mines Telecom, France

INRIA (Institut National de Recherche en Informatique et en Automatique), France

CNRS Centre National de la Recherche Scientifique, France

VTT Technical Research Centre of Finland Ltd., Finland

Airbus Defence and Space Oy, Finland

F-Secure Corporation, Finland

Insta DefSec Oy, Finland

Centria University of Applied Sciences Ltd, Finland

Eficode, Finland

Xiphera, Finland

Privecomms, Finland

Goodmill Systems Ltd, Finland

Huld, Finland

Iprotoxi, Finland

Riots, Finland

Nokia, Germany

FAU (Friedrich-Alexander Universität Erlangen-Nürnberg) – IT Security Infrastructures, Germany

WIBU Systems AG, Germany

KIT/CEL, Germany

Creonic GmbH, Germany

TU Kaiserslautern, Germany

University of Stuttgart – INT, Germany

University of Stuttgart – IKR, Germany

Technische Universität München – LKN, Germany

Atesio GmbH, Germany

Fraunhofer FOKUS, Germany

Technical University Berlin, Germany

Helmut-Schmidt-University Hamburg, Germany

TWT GmbH, Germany

DFKI (Deutsches Forschungszentrum für Künstliche Intelligenz), Germany

Let’s dev GmbH & Co. KG, Germany

FARO Europe GmbH, Germany

Ruhr Universität Bochum, Germany


Digital transformation is ongoing in many areas of today’s society, which will impact many aspects of people’s lives via means such as smart cities, robotic, transportation, and next-generation industries. At the same time, the current centralized cloud infrastructure is not adequate to serve the transformation’s requirements. We believe that three technologies can come together to shape a new secure service and application platform; 5G, edge-centric compute & artificial intelligence. In this context, European industry has a good position in 5G networks, transportation and industrial applications, but need to strengthen the position in a secure cloud, data centre and artificial intelligence technologies to be at the front of the development.

The primary objective of the AINET project is to provide enablers and solutions for high-performance services deployed and operated at the network edge. To manage complexity, we need to take advantage of artificial intelligence to complement traditional optimisation algorithms. Currently, deep edge network nodes will be deployed at locations not prepared for the power requirements of edge-centric compute. To answer this, we need to analyse requirements and develop methods to minimize energy consumption.

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