Base station power consumption management
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A Power Consumption Model and Energy Saving Techniques
Download Citation | On May 28, 2023, Maria Oikonomakou and others published A Power Consumption Model and Energy Saving Techniques for 5G-Advanced Base Stations | Find,
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Energy-saving control strategy for ultra-dense network base stations
To reduce the extra power consumption due to frequent sleep mode switching of base stations, a sleep mode switching decision algorithm is proposed. The algorithm reduces
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Measurements and Modelling of Base Station Power Consumption
The real data in terms of the power consumption and traffic load have been obtained from continuous measurements performed on a fully operated base station site.
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An Overview of Energy-efficient Base Station
In response, energy-efficient resource management schemes have been proposed, which take into account energy consumption, and control how much of the network
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Measurements and Modelling of Base Station Power Consumption under Real
Base stations represent the main contributor to the energy consumption of a mobile cellular network. Since traffic load in mobile networks significantly varies during a working or weekend
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5G Base Station Power Consumption Using Machine Learning
Accurate power consumption forecasting plays a pivotal role in energy management, influencing both utility operations and customer experience. With increasing
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Base station power control strategy in ultra-dense networks
However, the deployment of numerous small cells results in a linear increase in energy consumption in wireless communication systems. To enhance system efficiency and
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Power Consumption Modeling of 5G Multi-Carrier Base
However, there is still a need to understand the power consumption behavior of state-of-the-art base station architectures, such as multi-carrier active antenna units (AAUs),
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Measurements and Modelling of Base Station
The real data in terms of the power consumption and traffic load have been obtained from continuous measurements performed on a fully operated base station site. Measurements show the existence of a
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Energy Management of Base Station in 5G and B5G: Revisited
Since mmWave base stations (gNodeB) are typically capable of radiating up to 200-400 meters in urban locality. Therefore, high density of these stations is required for
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Base Station Microgrid Energy Management in 5G Networks
The number of 5G base stations (BSs) has soared in recent years due to the exponential growth in demand for high data rate mobile communication traffic from various
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What is a base station power consumption model?
In recent years, many models for base station power con-sumption have been proposed in the literature. The work in proposed a widely used power consumption model, which explicitly shows the linear relationship between the power transmitted by the BS and its consumed power.
How do base stations affect mobile cellular network power consumption?
Base stations represent the main contributor to the energy consumption of a mobile cellular network. Since traffic load in mobile networks significantly varies during a working or weekend day, it is important to quantify the influence of these variations on the base station power consumption.
How to reduce power-intensive base stations?
To address the issue of power-intensive base stations, proposed a combined approach involving base station sleep and spectrum allocation. This approach aims to discover the most efficient operating state and spectrum allocation for SBS to minimize power consumption and network disturbance.
What is the largest energy consumer in a base station?
The largest energy consumer in the BS is the power amplifier, which has a share of around 65% of the total energy consumption . Of the other base station elements, significant energy consumers are: air conditioning (17.5%), digital signal processing (10%) and AC/DC conversion elements (7.5%) .
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