Optimize Signal Quality In 5G Private Network Base Stations
In order to provide comprehensive coverage of 5G new radio (NR) private network, 5G NR measurement applications running on a signal analyzer should be able to measure and
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.
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.
Finally, the simulation experiment results are analyzed and it is concluded that the multi-objective 5G base station planning model combined with genetic algorithm has high coverage and feasibility in real life, and then provides a new direction for base station location selection.
In order to meet the development trend of the fast pace of 5G, improve users' 5G use experience, reduce insufficient signal coverage, and other problems, more base stations need to be established to cope with the high requirements of 5G on the network.
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