Research on location planning of 5G base station based on DBSCAN clustering algorithm

In China, the coverage of 5G network is increasing rapidly, and the cost of base station construction is huge. Therefore, reasonable and efficient site planning is an extremely important task.In this paper, based on DBSCAN clustering algorithm, Python software is used to build the model, and the traversal algorithm is used to solve the problem, and the site selection and planning work of 5G base station is completed.In practical application, the model has strong practicability and feasibility, and has a wide range of application.