5G communication base station address planning method based on clustering algorithm

The invention discloses a 5G communication base station address planning method based on a clustering algorithm, and the method comprises the steps: S1, collecting multi-source data, integrating data from different sources through a data fusion technology, and creating a unified data set; s2, identifying and constructing key features influencing base station site selection by preprocessing the created data set; s3, a clustering algorithm is selected according to data characteristics to analyze the data set, and a potential base station site selection area is identified; s4, simulating the coverage range and signal strength of each clustering area by using a propagation model, evaluating whether the selected position can meet the demand of future user capacity, iteratively adjusting clustering parameters according to an evaluation result, and optimizing base station site selection; the Spearman correlation analysis is carried out by utilizing data driving and integrating multi-source data, the manual dependenc