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.
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 the 5G millimeter wave era, antennas are getting smaller and smaller, and the number is increasing in pairs. Nowadays, most 4G mobile phones are 2×2, 5G is at least 4×4, and the base station antennas have as many as 128 or 256 antennas. The Internet of Things also requires antennas.
The 5G Base Station uses a set of antennas that connect with the distributed unit. These antennas can be implemented using a passive or active architecture. These are connected to the Base Station cabinet using feeder cables. The Base Station cabinet includes the transceiver and RF processing functions.
ation components and antenna mast systems. Upgrading 4G base stations by software to non-standalone (N A) 5G will still require hardware changes. It will act as an interim, but it will still not satisfy the need for true 5G network architecture. The number of base stations needed increases with each generation of mobile technolo
Nowadays, most 4G mobile phones are 2×2, 5G is at least 4×4, and the base station antennas have as many as 128 or 256 antennas. The Internet of Things also requires antennas. As introduced above, the required antennas will change to a certain extent according to the characteristics of 5G.
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