AI-based energy consumption modeling of 5G base stations: an
Abstract: The energy consumption of 5G networks is one of the pressing concerns in green communications. Recent research is focused towards energy saving techniques of
Comparison of Power Consumption Models for 5G Cellular
A new power model structure is proposed in order to assess the power consumption of traditional base stations, their extensions, and alternative architectures such as large-scale
Energy Efficiency for 5G and Beyond 5G: Potential, Limitations,
This paper presents an exhaustive review of power-saving research conducted for 5G and beyond 5G networks in recent years, elucidating the advantages, disadvantages, and
Energy consumption optimization of 5G base stations considering
An energy consumption optimization strategy of 5G base stations (BSs) considering variable threshold sleep mechanism (ECOS-BS) is proposed, which includes the initial
A Power Consumption Model and Energy Saving Techniques for 5G
Aiming at minimizing the base station (BS) energy consumption under low and medium load scenarios, the 3GPP recently completed a Release 18 study on energy savi
Energy Efficiency for 5G and Beyond 5G: Potential,
This paper presents an exhaustive review of power-saving research conducted for 5G and beyond 5G networks in recent years,
Optimal energy-saving operation strategy of 5G base station with
To further explore the energy-saving potential of 5 G base stations, this paper proposes an energy-saving operation model for 5 G base stations that incorporates
Comparison of Power Consumption Models for 5G Cellular Network Base
In order to quantify and optimize the energy consumption of mobile networks, theoretical models are required to estimate the effect of relevant parameters on the total
A Power Consumption Model and Energy Saving Techniques for
Aiming at minimizing the base station (BS) energy consumption under low and medium load scenarios, the 3GPP recently completed a Release 18 study on energy savi
Modelling the 5G Energy Consumption using Real-world
To address this, we propose a novel deep learning model for 5G base station energy consumption estimation based on a real-world dataset. Unlike existing methods, our approach integrates
Comparison of Power Consumption Models for 5G Cellular
In order to quantify and optimize the energy consumption of mobile networks, theoretical models are required to estimate the effect of relevant parameters on the total
Energy Consumption Modelling for 5G Radio Base Stations
In this thesis linear regression is compared with the gradient boosted trees method and a neural network to see how well they are able to predict energy consumption from field data of 5G
Comparison of Power Consumption Models for 5G Cellular Network Base
A new power model structure is proposed in order to assess the power consumption of traditional base stations, their extensions, and alternative architectures such as large-scale
Power Consumption Modeling of 5G Multi-Carrier Base
Importantly, this study item indicates that new 5G power consumption models are needed to accurately develop and optimize new energy saving solutions, while also considering the