This paper simulates a solution to reduce energy consumption in base stations by clustering and selecting a base station based on the annealing algorithm.
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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
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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 energy storage of base station has the potential to promote frequency stability as the construction of the 5G base station accelerates. This paper proposes a control strategy
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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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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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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,
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The power consumption of the 5G base station mainly comes from the AU module processing and conversion and high power
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In this paper, our goal is to minimize the total power consumption of the base station by dynamically controlling the switching status of the base station. This article first
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The power consumption of the 5G base station mainly comes from the AU module processing and conversion and high power-consuming high radio frequency signals, the
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Abstract—To achieve the expected 1000x data rates under the exponential growth of traffic demand, a large number of base stations (BS) or access points (AP) will be deployed
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