Innovating Works

CogNet

Financiado
Building an Intelligent System of Insights and Action for 5G Network Management
5G will realise a true Internet of Things, a network capable of supporting potentially trillions of wireless connected devices and with overall bandwidth one thousand times higher that today’s wireless networks. Current 4G technol... 5G will realise a true Internet of Things, a network capable of supporting potentially trillions of wireless connected devices and with overall bandwidth one thousand times higher that today’s wireless networks. Current 4G technology is approaching the limits of what is possible with this generation of radio technology and to address this, one of the key requirements of 5G will be to create a network that is highly optimised to make maximum use of available radio spectrum and bandwidth for QoS, and because of the network size and number of devices connected, it will be necessary for it to largely manage itself and deal with organisation, configuration, security, and optimisation issues. Virtualisation will also play an important role as the network will need to provision itself dynamically to meet changing demands for resources and Network Function Virtualisation (NFV), the virtualising of network nodes functions and links, will be the key technology for this. We believe that Autonomic Network Management based on Machine Learning will be a key technology enabling an (almost) self administering and self managing network. Network software will be capable of forecasting resource demand requirements through usage prediction, recognising error conditions, security conditions, outlier events such as fraud, and responding and taking corrective actions. Energy efficiency will also be a key requirement with the possibility to reconfigure the NFV to for example avail of cheaper or greener energy when it is available and suitable. Again this is directly related to usage prediction both at a macro level, across an entire network, and at a micro level within specific cells. The Cognet proposal will focus on applying Machine Learning research to these domains to enable the level of Network Management technology required to fulfil the 5G vision. ver más
31/12/2017
WIT
6M€
Duración del proyecto: 30 meses Fecha Inicio: 2015-06-10
Fecha Fin: 2017-12-31

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2017-12-31
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
ICT-14-2014: Advanced 5G Network Infrastructure for the Future Internet
Cerrada hace 9 años
Presupuesto El presupuesto total del proyecto asciende a 6M€
Líder del proyecto
WATERFORD INSTITUTE OF TECHNOLOGY No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5