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Machine Learning and Analytical Power Consumption Models for 5G Base Stations. (arXiv:2209.11600v1 [cs.NI])
Sept. 26, 2022, 1:11 a.m. | Nicola Piovesan, David Lopez-Perez, Antonio De Domenico, Xinli Geng, Harvey Bao, Merouane Debbah
cs.LG updates on arXiv.org arxiv.org
The energy consumption of the fifth generation(5G) of mobile networks is one
of the major concerns of the telecom industry. However, there is not currently
an accurate and tractable approach to evaluate 5G base stations (BSs) power
consumption. In this article, we propose a novel model for a realistic
characterisation of the power consumption of 5G multi-carrier BSs, which builds
on a large data collection campaign. At first, we define a machine learning
architecture that allows modelling multiple 5G BS …
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