Machine Learning and Analytical Power Consumption Models for 5G Base
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.
Energy-saving control strategy for ultra-dense network base
Aiming at the problem of mobile data traffic surge in 5G networks, this paper proposes an effective solution combining massive multiple-input multiple-output techniques
Machine Learning and Analytical Power Consumption Models for
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.
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
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
AI-based energy consumption modeling of 5G base stations: an
This paper demonstrates the energy consumption modeling of a BS considering its energy-saving sleep modes. We design a Deep Neural Network (DNN) based energy
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
Energy-saving control strategy for ultra-dense network base stations
Aiming at the problem of mobile data traffic surge in 5G networks, this paper proposes an effective solution combining massive multiple-input multiple-output techniques
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
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
5G_ENERGY_CONSUMPTION_PREDICTION
Predicting 5G base station energy consumption using supervised machine learning has real-world applications in addressing critical challenges in the telecommunications industry. Here are
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