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
Power consumption based on 5G communication
This paper proposes a power control algorithm based on energy efficiency, which combines cell breathing technology and base station sleep technology to reduce base station energy
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. particular, we present an
AI-based energy consumption modeling of 5G base stations: an energy
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
Modeling and aggregated control of large-scale 5G base stations
Simulations, utilizing actual device data, demonstrate the effectiveness of the proposed method in improving power system frequency performance while guaranteeing the
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
Final draft of deliverable D.WG3-02-Smart Energy Saving of
This document contains Version 1.0 of the ITU-T Technical Report on “Smart Energy Saving of 5G Base Station: Based on AI and other emerging technologies to forecast and optimize the
Comparison of Power Consumption Models for 5G Cellular Network Base
Power consumption models for base stations are briefly discussed as part of the development of a model for life cycle assessment. An overview of relevant base station power
5G network deployment and the associated energy consumption
In particular, this research took the UK as an example to investigate the spatiotemporal dynamic characteristics of 5G evolution, and further analysed the energy
Two-Stage Robust Optimization of 5G Base Stations
In recent years, researchers have delved into the energy consumption models and energy management strategies of 5G base stations to achieve their dual role in
Comparison of Power Consumption Models for 5G Cellular
Power consumption models for base stations are briefly discussed as part of the development of a model for life cycle assessment. An overview of relevant base station power
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