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In this article, we assumed that the 5G base station adopted the mode of combining grid power supply with energy storage power supply.
2) The optimized configuration results of the three types of energy storage batteries showed that since the current tiered-use of lithium batteries for communication base station backup power was not sufficiently mature, a brand- new lithium battery with a longer cycle life and lighter weight was more suitable for the 5G base station.
The backup battery of a 5G base station must ensure continuous power supply to it, in the case of a power failure. 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.
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.
In this paper, we thoroughly study the base station control problem in 5G ultra-dense networks and propose an innovative MAPPO algorithm. The algorithm significantly reduces the overall power consumption of the system by optimizing inter-base station collaboration and interference management while guaranteeing user QoS.
The limited penetration capability of millimeter waves necessitates the deployment of significantly more 5G base stations (the next generation Node B, gNB) than their 4G counterparts to ensure network coverage . Notably, the power consumption of a gNB is very high, up to 3–4 times of the power consumption of a 4G base stations (BSs).
However, the selection of 5G base station locations is also influenced by local terrain and population distribution, and obstacles such as streets, buildings, and trees can significantly impact signal propagation.
Comparison results of 5G base station optimization in general urban areas. As shown in Table 11, the algorithm proposed in this topic reduces the site construction cost by at least 13 %, improves the coverage by at least 5.4 %, and reduces the number of base stations by at least 17.6 % compared to other algorithms.
5G networks divide coverage areas into smaller zones called cells, enabling devices to connect to local base stations via radio. Each station connects to the broader telephone network and the Internet through high-speed optical fiber or wireless backhaul.
Sun et al. 23 presented a multipath parameter extraction scheme by interference cancellation in 5G networks. A cancellation-based algorithm is introduced to strengthen the sound of passive channels. It deals with multi-cell interference from neighbouring cells operating at the same frequency band.
Base stations (gNBs) often operate at greater power levels, typically about 40–46 dBm (10–40 W), whereas standard 5G user equipment (UE) transmission powers vary from 23 dBm (200 mW) to 30 dBm (1 W).
Li et al. 30 proposed a photonic-assisted interference cancellation scheme for 5G centralized communication networks. The strategy uses integrated optical modulators with more than 35 dB self-interference cancellation and more than 25 dB image rejection ratio. It eliminates fibre dispersion as well as stability and performance.
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