According to the energy consumption characteristics of the base station, a 5G base station energy consumption prediction model based on the LSTM network is constructed to provide data support for the subsequent BSES aggregation and collaborative scheduling.
With the rapid development of 5G base station construction, significant energy storage is installed to ensure stable communication. However, these storage re...
The research on 5G base station load forecasting technology can provide base station operators with a reasonable arrangement of energy supply guidance, and realize the energy saving and emission reduction of 5G base stations.
• The 5G base station energy consumption prediction model based on LSTM proposed in this paper takes into account the energy consumption characteristics of 5G base stations. The prediction results have high accuracy and provide data support for the subsequent research on BSES aggregation and optimal scheduling.
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The $87 Billion Question: Can We Build Smarter Networks? As global 5G deployments accelerate, communication base station cost optimization has become the linchpin of telecom …
During the intraday stage, based on day-ahead predicted data of renewable energy output and load and errors, the model adjusts the backup energy storage of the 5G …
College of Electrical and Information Engineering, Hunan University, Changsha, China With the rapid development of 5G base …
Importantly, this study item indicates that new 5G power consumption models are needed to accurately develop and optimize new energy saving solutions, while also …
For energy efficiency in 5G cellular networks, researchers have been studying at the sleeping strategy of base stations. In this regard, this study models a 5G BS as an (M^ { …
Energy saving technology and solution of 5G base station based on AI Artificial intelligence (AI) technology has been widely used in computer vision, information retrieval, …
In spite of promising outcomes in optimizing energy usage for Radio Access Network (RAN) Base Station (BS) hardware, deployment, and resource management, existing …
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 …
Accurate energy consumption modeling is essential for developing energy-efficient strategies, enabling operators to optimize resource uti-lization while maintaining network …
College of Electrical and Information Engineering, Hunan University, Changsha, China With the rapid development of 5G base station construction, significant energy storage …
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