Small communication mobile base station energy method
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Analysis of energy efficiency of small cell base station in 4G/5G
Base Stations (BSs) sleeping strategy is an efficient way to obtain the energy efficiency of cellular networks. To meet the increasing demand of high-data-rate for wireless
Simulation and Classification of Mobile Communication Base Station
In recent years, with the rapid deployment of fifth-generation base stations, mobile communication signals are becoming more and more complex. How to identify and classify those signals is a
Joint Load Control and Energy Sharing for Renewable Powered Small Base
We propose three different implementations of the controller through Machine Learning models, namely Imitation Learning, Q-Learning and Deep Q-Learning, capable of learning optimal
Energy-efficiency schemes for base stations in 5G heterogeneous
In today''s 5G era, the energy efficiency (EE) of cellular base stations is crucial for sustainable communication. Recognizing this, Mobile Network Operators are actively prioritizing EE for
Energy Efficiency Aspects of Base Station Deployment
In this regard, the deployment of small, low power base stations, alongside conventional sites is often believed to greatly lower the energy consumption of cellular radio networks. This paper
Energy-efficient indoor hybrid deployment strategy for 5G mobile small
In the context of 5th-generation (5G) mobile communication technology, deploying indoor small-cell base stations (SBS) to serve visitors has become common. However, indoor
Analysis of energy efficiency of small cell base station in 4G/5G
We propose three different implementations of the controller through Machine Learning models, namely Imitation Learning, Q-Learning and Deep Q-Learning, capable of learning optimal
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