Machine Learning and Analytical Power Consumption
oduce a new power consumption model for 5G active antenna units (AAUs), the highest power consuming component of a BS1 and in turn of a mobile network. I. particular, we present an
Because it is estimated that in 5G, the base station's density is expected to exceed 40–50 BSs/ Km 2 . The energy consumption of the 5G network is driving attention and many world-leading network operators have launched alerts about the increased power consumption of the 5G mobile infrastructure .
This restricts the potential use of the power models, as their validity and accuracy remain unclear. Future work includes the further development of the power consumption models to form a unified evaluation framework that enables the quantification and optimization of energy consumption and energy efficiency of 5G networks.
[email protected]—The energy consumption of the fifth generation (5G) of mobile networks is one of the major co cerns 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 pr
The energy consumption of the 5G network is driving attention and many world-leading network operators have launched alerts about the increased power consumption of the 5G mobile infrastructure . The access network is a most energy-intensive component (i.e., 60%–80%) than the other components of the mobile network.
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