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 .
The energy consumption of 5G networks is one of the pressing concerns in green communications. Recent research is focused towards energy saving techniques of base stations (BSs). BSs are one of the most power consuming elements of a 5G network. It is important to model their energy consumption for analyzing overall energy efficiency of a network.
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.
For energy prediction of 5G base stations, this thesis finds that using a more balanced dataset, in terms of the number of samples for each product, has a positive impact for the ANN and the Gradient Boosted Trees model while the linear regression performs worse.
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Free QuoteIncreased Data Processing and Complexity These 5G base stations consume about three times the power of the 4G stations. The main reason for this spike in power …
Free QuoteAccurate energy consumption modeling is essential for developing energy-efficient strategies, enabling operators to optimize resource uti-lization while maintaining network …
Free QuoteAt present, 5G mobile traffic base stations in energy consumption accounted for 60% ~ 80%, compared with 4G energy consumption increased three times. In the future, high …
Free QuoteHowever, there is still a need to understand the power consumption behavior of state-of-the-art base station architectures, such as multi-carrier active antenna units (AAUs), …
Free QuoteMathematical optimization of energy consumption requires a model of the prob-lem at hand. In this thesis linear regression is compared with the gradient boosted trees method and a neural …
Free QuoteThe architectural differences of these networks are highlighted and power consumption analytical models that characterize the energy consumption of radio resource …
Free QuoteThis project aims to predict energy consumption in 5G base stations using Supervised Learning Regression techniques. The goal is to model and estimate the energy consumed by different …
Free QuoteThe energy consumption of 5G networks is one of the pressing concerns in green communications. Recent research is focused towards energy saving techniques of base …
Free QuoteThis paper conducts a literature survey of relevant power consumption models for 5G cellular network base stations and provides a comparison of the models. It highlights …
Free QuoteThe architectural differences of these networks are highlighted and power consumption analytical models that characterize the energy consumption of radio resource …
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