Taming the environmental impact of mobile networks through GREEN EDGE computing platforms

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Taming the environmental impact of mobile networks through GREEN EDGE computing platforms

Acronym

GREENEDGE

Project description

Modern communication networks are rapidly evolving into sophisticated systems combining communication and computing capabilities. Computation at the network edge is key to supporting many emerging applications, from extended reality to smart health, smart cities, smart factories and autonomous driving. Multi-access edge computing (MEC) technology is being developed to deliver the required computation functionalities closer to user devices, directly at mobile access points. GREENEDGE is motivated by the fact that the large scale adoption of MEC technology, while benefiting human productivity and efficiency, will result in a surge of data and computation in mobile networks, which, in turn, will exacerbate their energy consumption. GREENEDGE is set out to tame the growing carbon footprint of MEC technology, devising highly energy efficient communication and computing functionalities for the network edge, combining them with ambient energy sources and with new energy storage and supply paradigms. As a result, GRE
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Starting year

2021

End year

2025

Granted funding

280 805 €
Participant
WORLDSENSING SL (ES)
250 904 €
Participant
CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA (ES)
752 714 €
Participant
TOSHIBA RESEARCH EUROPE LIMITED (UK)
303 172 €
Participant
KATHOLIEKE UNIVERSITEIT LEUVEN (BE)
512 640 €
Participant
COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES (FR)
549 604 €
Participant
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE (UK)
606 345 €
Participant
UNIVERSITA DEGLI STUDI DI PADOVA (IT)
784 499 €
Coordinator

Amount granted

4 040 686 €

Funder

European Union

Funding instrument

Training Networks

Framework programme

Horizon 2020 Framework Programme

Call

Programme part
Fostering new skills by means of excellent initial training of researchers (H2020-EU.1.3.1.)
Topic
Innovative Training Networks (MSCA-ITN-2020)
Call ID
H2020-MSCA-ITN-2020

Other information

Funding decision number

953775