Cellular-free large-scale MIMO access point position deployment method based on clustering analysis

The invention relates to the technical field of wireless communication, in particular to a non-cellular large-scale MIMO (multiple input multiple output) access point position deployment method based on clustering analysis, which comprises the following steps of: acquiring longitude and latitude coordinates of a user position and a traffic demand by an access point as a key data set, performing traversal calculation by adopting a density-based spatial clustering of application (DBSCAN) algorithm with noise, and performing clustering analysis on the user position and the traffic demand to obtain a non-cellular large-scale MIMO access point position deployment result. And obtaining an optimal parameter combination and solving the clustering number. And the distances between adjacent clustering centers of the separation degree are compared, if the separation degree is smaller than a certain first judgment result, merging is carried out, and the reserved clustering centers contribute a higher weight to the Intern