5G base stations are more power-hungry than their 4G predecessors due to higher frequency usage, massive MIMO antennas, and increased data loads. Any power disruption can impact
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Abstract: One of the most concerning issues in 5G cellular networks is managing the power consumption in the base station (BS). To manage the power consumption in BS, we proposed
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It monitors the power status (input/output voltage and current, battery status, module temperature, alarm information, etc.) in real time and transmits data remotely to the operation
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Considering the construction of the 5G base station in a certain area as an example, the results showed that the proposed model can not only reduce the cost of the 5G base
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It monitors the power status (input/output voltage and current, battery status, module temperature, alarm information, etc.) in real time and transmits data remotely to the operation
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Grounded in the spatiotemporal traits of chemical energy storage and thermal energy storage, a virtual battery model for base stations is established and the scheduling potential of battery clusters in multiple
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To enhance the utilization of base station energy storage (BSES), this paper proposes a co-regulation method for distribution network (DN) voltage control, enabling BSES participation in grid interactions.
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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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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 base stations considering communication load demand migration and energy storage dynamic backup is established.
Therefore, 5G macro and micro base stations use intelligent photovoltaic storage systems to form a source-load-storage integrated microgrid, which is an effective solution to the energy consumption problem of 5G base stations and promotes energy transformation.
The 5G communication base station can be regarded as a power consumption system that integrates communication, power, and temperature coupling, which is composed of three major pieces of equipment: the communication system, energy storage system, and temperature control system.
During main power failures, the energy storage device provides emergency power for the communication equipment. A set of 5G base station main communication equipment is generally composed of a baseband BBU unit and multiple RF AAU units. Equation 1 serves as the base station load model:
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.
The charging and discharging actions of energy storage meet the requirements of various 5G base stations for microgrid power backup. During the low electricity price period, the 5G base station microgrid purchases electricity from the grid to meet the power demand of the base station.
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