As shown in Fig. 8, an area covering an area of 25 square kilometers in Jilin City is selected as the location for dense urban areas to optimize the coverage of 5G base stations. Fig. 8. Distribution of initial base stations in dense urban areas.
As can be seen from Fig. 10, after optimizing the coverage of 5G base stations, 43 new 5G base stations and 13 3/4G shared base stations are included, resulting in a base station coverage rate of 92.5 %. This algorithm is compared with the traditional genetic algorithm and the multi-objective optimization algorithm NSGA-II.
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.
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