Energy-saving Scheme of 5G Base Station Based on LSTM
station is reduced by 18.97 %. A single station can save 1. 74 degrees of electricity yearly. It can be seen that the energy saving e. fe. is remarkab.
station is reduced by 18.97 %. A single station can save 1. 74 degrees of electricity yearly. It can be seen that the energy saving e. fe. is remarkab.
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
The traditional power-saving effect evaluation scheme of Active Antenna Unit (AAU) is complicated, leading to errors in the final evaluation results possibly. This paper
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
In order to reduce the carbon emissions of 5G base stations and achieve green 5G, this paper further examines the literature related to existing energy-saving technologies for 5G
Through these interventions, China Mobile added 467,000 5G base stations while achieving a 2% reduction in overall base station energy consumption in 2024, demonstrating
In order to reduce the carbon emissions of 5G base stations and achieve green 5G, this paper further examines the literature related to existing energy-saving technologies for 5G
In response to the current widespread issue of high energy consumption in 5G base stations, this article conducts overall design, hardware design, and software design of the base station
When the symbol shut down function is turned on, when there is no user data transmission in the downlink symbol, the base station equipment can achieve the purpose of energy saving by
We develop high-accuracy models to profile 4G and 5G base station energy con- sumption, revealing 5G inefficiencies under low traffic loads. We identify energy efficiency traps where
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However, due to their high radio frequency and limited coverage, the construction and operation of 5G base stations can lead to significant energy consumption and greenhouse gas emissions. To address this challenge, scholars have focused on developing sustainable 5G base stations.
In terms of energy consumption, 5G base stations require continuous operation and stability, which leads to significant electricity consumption (Guo et al., 2022a). This power is mainly supplied by transmission equipment and auxiliary equipment, such as transformers, UPS power supplies, and cooling equipment.
To improve the energy eficiency of 5G networks, it is imperative to develop sophisticated models that accurately reflect the influence of base station (BS) attributes and operational conditions on energy usage.
The 5G base station equipment architecture mainly adopts the BBU + AAU method. The BBU is the baseband part and can be further divided into two logical network elements, CU and DU. The CU handles the protocol stack functions above the PDCP layer of the wireless network, while the DU handles radio protocol functions below the PDCP layer.