Hybrid Energy Metering 5G Base Station
In this paper, a multi-objective capacity optimization allocation strategy for hybrid energy storage microgrids applicable to 5G base stations in remote areas is proposed.
In this paper, hybrid energy utilization was studied for the base station in a 5G network. To minimize AC power usage from the hybrid energy system and minimize solar energy waste, a Markov decision process (MDP) model was proposed for packet transmission in two practical scenarios.
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.
In addition, none of the previous works linked practical transmission scenarios for the MDP model with the study of trade-off among three elements: the minimum dropped packet ratio, the minimum the wastage of solar energy harvesting (SEH), and the minimum AC power utilization was achieved for a 5G base station using the proposed MDP method.
This paper considers the peak control of base station energy storage under multi-region conditions, with the 5G communication base station serving as the research object. Future work will extend the analysis to consider the uncertainty of different types of renewable energy sources' output.
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