Abstract 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
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This paper proposes a double-layer clustering method for 5G base stations and an integrated centralized-decentralized control strategy for their participation in frequency
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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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Abstract To ensure the safe and stable operation of 5G base stations, it is essential to accurately pre-dict their power load. However, current short-term prediction methods are
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On the basis of ensuring smooth user communication and normal operation of base stations, it realizes orderly regulation of energy storage for large-scale base stations,
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The calculation example analysis results show that communication load transfer can effectively reduce the power consumption of 5G base stations during low load periods and increase the
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This article proposes a fast evaluation method for the carrying capacity of 5G base station load scale connected to the distribution network based on a data-driven fast power flow
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In this paper, a distributed collaborative optimization approach is proposed for power distribution and communication networks with 5G base stations. Firstly, the model of 5G
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For mobile communication companies to optimize the number of base stations implemented, it is necessary to accurately measure the wireless traffic load of the currently
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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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