This article proposes an optimization approach for the deployment of 5G base stations. Initially, a continuous wave (CW) test is conducted in the planned area to acquire drive test data. These data, along with the least squares method, are utilized to calibrate the signal propagation model.
With the rapid development of 5G mobile communication technology, the number of 5G users has significantly increased, leading to a corresponding expansion in network capacity . To meet the growing user demand, researchers have begun to focus on improving the throughput of base stations (e.g. Refs. [2, 3]).
It is known that there are 20 3/4G shared base stations in this area. According to Section 5, the number of base stations in general urban areas ranges from 20 to 36. Therefore, in the simulation experiment, the optimal results of the base station layout are shown in Table 10. Table 10. Layout results of 5G base station in general 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.
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