5g Mikro-Basisstation-Energiespeicher
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User Equipment (UE): 5G cellular devices, such as smartphones, connect via the 5G New Radio Access Network to the 5G core and then to the internet. Radio Access Network (RAN): Coordinate network
How to optimize energy storage planning and operation in 5G base stations?
In the optimal configuration of energy storage in 5G base stations, long-term planning and short-term operation of the energy storage are interconnected. Therefore, a two-layer optimization model was established to optimize the comprehensive benefits of energy storage planning and operation.
What is the inner goal of a 5G base station?
The inner goal included the sleep mechanism of the base station, and the optimization of the energy storage charging and discharging strategy, for minimizing the daily electricity expenditure of the 5G base station system.
Can a 5G base station energy storage sleep mechanism be optimized?
The optimization configuration method for the 5G base station energy storage proposed in this article, that considered the sleep mechanism, has certain engineering application prospects and practical value; however, the factors considered are not comprehensive enough.
Why do 5G base stations need backup batteries?
As the number of 5G base stations, and their power consumption increase significantly compared with that of 4G base stations, the demand for backup batteries increases simultaneously. Moreover, the high investment cost of electricity and energy storage for 5G base stations has become a major problem faced by communication operators.
What is a minimal 5G BS energy consumption optimization model?
Therefore, the problem can be formulated as a minimal 5G BS energy consumption optimization model, i.e., the energy consumption reduced by reasonably switching off the idle or lightly loaded BSs and reasonably associate UEs with BSs (i.e., the BS switching state and BS-UE association state scheme).
Can artificial intelligence save energy in a 5G base station?
In future, this work can further be extended for more BSs and evaluated in terms of more parameters such as latency. Rumeng T, Tong W, Ying S, Yanpu H (2021) Intelligent energy saving solution of 5G base station based on artificial intelligence technologies.