CORDIS Project
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This project develops environmentally friendly machine learning algorithms for managing radio resources in wireless networks. It aims to ensure that advancements in artificial intelligence do not compromise sustainability, focusing on minimizing energy costs and carbon footprints in future communication systems.
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 footprin…
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