CORDIS
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CORDIS

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Integrating wireless communication engineering and machine learning

Project information

Grant agreement ID: 813999

Status

Ongoing project

  • Start date

    1 January 2019

  • End date

    31 December 2022

Funded under:

H2020-EU.1.3.1.

  • Overall budget:

    € 4 072 823,64

  • EU contribution

    € 4 072 823,64

Coordinated by:

AALBORG UNIVERSITET

Denmark

Objective

With their evolution towards 5G and beyond, wireless communication networks are entering an era of massive connectivity, massive data, and extreme service demands. A promising approach to successfully handle such a magnitude of complexity and data volume is to develop new network management and optimization tools based on machine learning. This is a major shift in the way wireless networks are designed and operated, posing demands for a new type of expertise that requires the combination of engineering, mathematics and computer science disciplines. The ITN project WindMill addresses this need by providing Early Stage Researchers (ESRs) with an expertise integrating wireless communications and machine learning. The project will train 15 ESRs within a consortium of leading international research institutes and companies comprising experts in wireless communications and machine learning. This a very timely project, providing relevant inter-disciplinary training in an area where machine learning represents a meaningful extension of the current methodology used in wireless communication systems. Accordingly, the project will produce a new generation of experts, extremely competitive on the job market, considering the scale by which machine learning will impact the future and empower the individuals that are versed in it. The project will also nurture the sense of responsibility of the ESRs and the other participants through personal engagement in the training program and by promoting teamwork through collaborative joint projects.

Coordinator

AALBORG UNIVERSITET

Address

Fredrik Bajers Vej 7k
9220 Aalborg

Denmark

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 595 044

Participants (9)

EURECOM

France

EU Contribution

€ 549 604,08

CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA

Spain

EU Contribution

€ 501 809,76

AALTO KORKEAKOULUSAATIO SR

Finland

EU Contribution

€ 561 611,52

UNIVERSITA DEGLI STUDI DI PADOVA

Italy

EU Contribution

€ 522 999,36

ERICSSON AB

Sweden

EU Contribution

€ 281 982,96

NOKIA BELL LABS FRANCE

France

EU Contribution

€ 274 802,04

WORLDSENSING SL

Spain

EU Contribution

€ 250 904,88

EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH

Switzerland

EU Contribution

€ 281 276,64

ROBERT BOSCH GMBH

Germany

EU Contribution

€ 252 788,40

Partners (11)

MITSUBISHI ELECTRIC RESEARCH LABORATORIES INC.

United States

CORNELL UNIVERSITY

United States

INTEL DEUTSCHLAND GMBH

Germany

THE UNIVERSITY OF TEXAS SYSTEM

United States

UNIVERSITAT POLITECNICA DE CATALUNYA

Spain

UNIVERSITAET STUTTGART

Germany

CENTRALESUPELEC

France

VIRGINIA TECH APPLIED RESEARCH CORPORATION

United States

DEEPSIG INC.

United States

INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE LYON

France

TELENOR ASA

Norway

Project information

Grant agreement ID: 813999

Status

Ongoing project

  • Start date

    1 January 2019

  • End date

    31 December 2022

Funded under:

H2020-EU.1.3.1.

  • Overall budget:

    € 4 072 823,64

  • EU contribution

    € 4 072 823,64

Coordinated by:

AALBORG UNIVERSITET

Denmark