A Power Consumption Model and Energy Saving Techniques 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.
Machine Learning and Analytical Power Consumption
When symbol shutdown is activated, the AAU switches off the MCPAs, and its power consumption is reduced to the sum of the baseline power consumption, P0, the baseband
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
Power Consumption Modeling of 5G Multi-Carrier Base Stations:
The fifth generation of the Radio Access Network (RAN) has brought new services, technologies, and paradigms with the corresponding societal benefits. However,
Optimal energy-saving operation strategy of 5G base station with
Case studies demonstrate that the proposed model effectively integrates the characteristics of electrical components and data flow, enhancing energy efficiency while
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
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
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.
Final draft of deliverable D.WG3-02-Smart Energy Saving of
Smart Energy Saving of 5G Base Station: Based on AI and other emerging technologies to forecast and optimize the management of 5G wireless network energy consumption
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
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