This technical report explores how network energy saving technologies that have emerged since the 4G era, such as carrier shutdown, channel shutdown, symbol shutdown etc., can be leveraged to mitigate 5G energy consumption.
However, the energy consumption of 5G networks is today a concern. In recent years, the design of new methods for decreasing the RAN power consumption has attracted interest from both the research community and standardization bodies, and many energy savings solutions have been proposed.
Abstract—The fifth generation of the Radio Access Network (RAN) has brought new services, technologies, and paradigms with the corresponding societal benefits. However, the energy consumption of 5G networks is today a concern.
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 5G wireless network energy consumption” approved at the ITU-T Study Group 5 meeting held online, 20th May, 2021. 3.1.
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Change Log 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 …
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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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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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Within the context of 5G, Ultra-Dense Networks (UDNs) are regarded as an important network deployment strategy, employing a large number of low-power small cells to …
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The base station power consumption constituents are evolving, making the power challenges a moving target, as illustrated in …
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With the maturity and large-scale deployment of 5G technology, the proportion of energy consumption of base stations in the smart grid is increasing, and there is an urgent …
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A base station control algorithm based on Multi-Agent Proximity Policy Optimization (MAPPO) is designed. In the constructed 5G UDN model, each base station is considered as …
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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 …
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This paper conducts a literature survey of relevant power consumption models for 5G cellular network base stations and provides a comparison of the models. It highlights …
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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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Base stations are evolving into "power plants!" With the widespread adoption of 5G technology, the number of telecom sites is increasing, leading to higher energy consumption. …
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Bringing base-station intelligence into 5G operations must be a priority for CSPs The ‘Smart 5G with intelligent computing’ Catalyst demonstrates how AI deployed at the network …
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Explore 5G power management: device consumption, base station efficiency, dynamic control, and power amplifiers. Learn about energy efficiency in …
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In spite of promising outcomes in optimizing energy usage for Radio Access Network (RAN) Base Station (BS) hardware, deployment, and resource management, existing …
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For 5 G base station software management strategies, there is already a certain amount of research available. Dynamic power consumption modeling for base stations is a …
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Accurate power consumption forecasting plays a pivotal role in energy management, influencing both utility operations and customer experience. With increasing …
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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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The energy consumption of 5G networks is one of the pressing concerns in green communications. Recent research is focused towards energy saving techniques of base …
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Change Log 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 …
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