Getting ready for 5G

The team behind CogNet predicts that there will be 11.5 billion mobile-ready devices in the world by 2020, as well as more connected devices. But the current mobile and wireless bandwidth will not be able to cope with Europe's ever-increasing data demands. The CogNet solution? Automatic network management through machine learning algorithms.

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Countries
Countries
  Algeria
  Argentina
  Australia
  Austria
  Bangladesh
  Belarus
  Belgium
  Benin
  Bolivia
  Brazil
  Bulgaria
  Burkina Faso
  Cambodia
  Cameroon
  Canada
  Cape Verde
  Chile
  China
  Colombia
  Costa Rica
  Croatia
  Cyprus
  Czech Republic
  Denmark
  Ecuador
  Egypt
  Estonia
  Ethiopia
  Faroe Islands
  Finland
  France
  French Polynesia
  Georgia


 

Published: 8 April 2016  
Related theme(s) and subtheme(s)
Information societyTelecommunications
Innovation
Research policyHorizon 2020
Countries involved in the project described in the article
Germany  |  Ireland  |  Israel  |  Italy  |  Spain
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Getting ready for 5G

Picture of the young couple in cafe playing with smartphone

© katie_martynova - fotolia.com

By applying machine learning to network data, the team plans to make it possible for the network to yield insights, recognise events and conditions (increased demand, errors, fraud etc.) and to respond to them. The technology will be of particular interest for large-scale 5G deployments.

In addition to developing more dynamic network topologies, the project is also targeting improved quality of service and lower capital and operational costs through improved efficiency.

CogNet will also seek to cut energy use, enabling the network to switch to using cheaper or greener energy when available.

Project details

  • Project acronym: CogNet
  • Participants: Ireland (Coordinator), Spain, Italy, Germany, Israel
  • FP7 Proj. N° 671625
  • Total costs: € 5 972 820
  • EU contribution: € 5 972 819
  • Duration: October 2011 - December 2014

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