May 11, 2022 · The base station traffic has non-stationary chaotic characteristics. In addition to the traditional time series prediction method ARIMA model, scholars at home and abroad also
Sep 1, 2024 · Simulation experiments were conducted in three different scenarios, and the results indicate that the proposed AMGA algorithm effectively enhances base station coverage while
Apr 1, 2024 · The validation of this fast method as a first attempt to assess the compliance of 5G stations permits the testing of these base stations in an efficient way. Only when broadband
Prepare geographic image data. Obtain engineering data from relevant software, including basic information about the base station, latitude and longitude of the base station, antenna parameters, and other data. Install the receiving antenna on the roof of the testing vehicle and connect the testing antenna to the computer.
Overall optimization objective function Based on the above analysis, in the genetic algorithm, the coverage optimization of a base station mainly considers two optimization objectives: the base station construction cost and the coverage goal. The overall optimization function is (23).
In communication network planning, a rational base station layout plays a crucial role in improving communication speed, ensuring service quality, and reducing investment costs.
The purpose of optimizing the layout of base stations is to reduce the construction cost of base stations and improve the communication quality for users. A majority of researchers have conducted extensive research and argumentation on this issue.
According to Section 5, the number of base stations in dense urban areas ranges from 48 to 62. Therefore, in the simulation experiment, the optimal results of the base station layout are shown in Table 8. Table 8. Layout results of 5G base station in dense urban areas.
2. Research on base station coverage methods Base station coverage optimization refers to the optimization of the number and placement of base stations to ensure comprehensive coverage of the wireless network, thereby enhancing the communication quality for users. 2.1. Problems
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