Green Machine Learning for 5G and Beyond Resource Optimisation

Project description

Making green machine learning algorithms

The greening of our communication networks is an emerging trend, but potentially threatened by energy intensive AI algorithms that are needed for complex optimisations. The EU-funded GreenML5G project will investigate how to reduce energy expenditure for deep reinforcement learning modules. The overall output of the project is to create green machine learning algorithms for radio resource management. The technology has widespread impact in other areas of autonomy and machine learning.

Fields of science

• engineering and technology › electrical engineering, electronic engineering, information engineering › information engineering › telecommunications › telecommunications networks › mobile network › 5G
• natural sciences › computer and information sciences › artificial intelligence › machine learning › reinforcement learning
• natural sciences › computer and information sciences › artificial intelligence › machine learning › deep learning
• engineering and technology › electrical engineering, electronic engineering, information engineering › information engineering › telecommunications › radio technology

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2019 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2019

See other projects for this call

Funding Scheme

MSCA-IF-EF-ST - Standard EF

Coordinator

CRANFIELD UNIVERSITY

Net EU contribution

€ 224 933,76

Address

College Road
MK43 0AL Cranfield - Bedfordshire
United Kingdom

Activity type

Higher or Secondary Education Establishments

Links

Non-EU contribution

€ 0,00