Machine Learning and Analytical Power Consumption Models for

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

Energy Efficiency for 5G and Beyond 5G: Potential, Limitations, and

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 key

Comparison of Power Consumption Models for 5G Cellular Network

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 antenna...

Power consumption analysis of access network in 5G mobile

Energy consumption growth of the fifth-generation (5G) mobile network infrastructure can be significant due to the increased traffic demand for a massive number of end-users with increasing

5G Base Station Power Consumption Using Machine Learning

This project explores the application of machine learning and deep learning techniques to develop a predictive framework for forecasting power consumption, aiming to support energy providers in

Final draft of deliverable D.WG3-02-Smart Energy Saving of 5G

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 management of

Machine Learning and Analytical Power Consumption Models for 5G

In this article, we propose a novel model for a realistic characterization of the power consumption of 5G multi-carrier BSs, which builds on a large data collection campaign.

Comparison of Power Consumption Models for 5G Cellular Network

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 Energy Consumption Modeling

Thus, the objective is to develop a machine learning model to estimate the energy consumption of 5G base stations, taking into account different engineering configurations, traffic conditions, and energy

Modelling the 5G Energy Consumption using Real-world Data:

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 the Base