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H2020Doctoral network2019–2023

WINDMILL · Integrating wireless communication engineering and machine learning

Horizon 2020 — Marie Skłodowska-Curie Actions

Duration
2019-01-01 → 2023-06-30
EU contribution
€4,072,824
Participants
21
Scheme
MSCA-ITN

Lines connect the coordinator with its partners.

Results in brief

Integrating wireless communication engineering and machine learning

As wireless communication networks evolve towards 5G and beyond, we are entering an era of massive connectivity, massive data, and extreme service demands. The unprecedented level of of connectivity enabled by 5G will be one of the cornerstones digital transformation, impacting all segments of society - education, health, security, transportation, industrial production, etc. It will also revolutionize the communications between humans and machines, merging physical and digital worlds. However, it is challenging to handle such complex networks and the involved data volumes successfully. A promising approach to this issue is to develop new network management and optimization tools based on machine learning. This presents a major shift in the design and operation of wireless networks. At the same time, the approach demands a new type of expertise: a combination of engineering, mathematics and computer science disciplines. The ITN project WindMill addresses thus this issue by providing relevant interdisciplinary training. In the course of the project, 15 Early Stage Researchers (ESRs) were trained in integrating wireless communications and machine learning. The trainings were provided by a consortium of leading international research institutes and companies with experts in wireless communications and machine learning.

Data: CORDIS, © European Union

Project 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.

Original text from CORDIS.

Participants

  • AALBORG UNIVERSITET · AalborgCoordinatorDenmark
  • AALTO KORKEAKOULUSAATIO SR · EspooFinland
  • CENTRALESUPELEC · GIF SUR YVETTEFrance
  • CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA · Castelldefels BarcelonaSpain
  • CORNELL UNIVERSITY · IthacaUnited States
  • DEEPSIG INC. · Arlington VaUnited States
  • EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH · ZuerichSwitzerland
  • ERICSSON AB · StockholmSweden
  • EURECOM GIE · BiotFrance
  • INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE LYON · VILLEURBANNE CEDEXFrance
  • INTEL DEUTSCHLAND GMBH · FELDKIRCHENGermany
  • MITSUBISHI ELECTRIC RESEARCH LABORATORIES INC. · WilmingtonUnited States
  • NOKIA NETWORKS FRANCE · MassyFrance
  • ROBERT BOSCH GMBH · Gerlingen-SchillerhoeheGermany
  • TELENOR ASA · FornebuNorway
  • THE UNIVERSITY OF TEXAS SYSTEM · AustinUnited States
  • UNIVERSITA DEGLI STUDI DI PADOVA · PadovaItaly
  • UNIVERSITAT POLITECNICA DE CATALUNYA · BARCELONASpain
  • UNIVERSITY OF STUTTGART · StuttgartGermany
  • VIRGINIA TECH APPLIED RESEARCH CORPORATION · ArlingtonUnited States
  • WORLDSENSING SL · BarcelonaSpain

Links

Data: CORDIS, © European Union