CORDIS
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CORDIS

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Green Machine Learning for 5G and Beyond Resource Optimisation

Project information

Grant agreement ID: 891221

Status

Grant agreement signed

  • Start date

    1 April 2021

  • End date

    31 March 2023

Funded under:

H2020-EU.1.3.2.

  • Overall budget:

    € 224 933,76

  • EU contribution

    € 224 933,76

Coordinated by:

CRANFIELD UNIVERSITY

United Kingdom

Objective

Artificial Intelligence (AI) is revolutionising a wide range of industries. Wireless networks with emerging high dimensional challenges are set to benefit from data-driven deep learning optimisation across layers. In particular, we expect that the deep supervised and deep reinforcement learning modules can resolve high-dimensionality inputs, achieve near optimal solutions, and efficiently scale via confederated learning. However, what is not well understood is the energy cost and carbon footprint of AI in future wireless networks. The danger is that intelligent networks are not green networks and that the recent progress made in green communication risk being undermined by the new breed of AI-based wireless communication. Here, in this project, we propose to develop green machine learning algorithms for radio resource management. This will lead to a future of intelligent and sustainable wireless networking.

Coordinator

CRANFIELD UNIVERSITY

Address

College Road
Mk43 0al Cranfield - Bedfordshire

United Kingdom

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 224 933,76

Project information

Grant agreement ID: 891221

Status

Grant agreement signed

  • Start date

    1 April 2021

  • End date

    31 March 2023

Funded under:

H2020-EU.1.3.2.

  • Overall budget:

    € 224 933,76

  • EU contribution

    € 224 933,76

Coordinated by:

CRANFIELD UNIVERSITY

United Kingdom