In view of the challenges of load balancing,signal interference,incomplete coverage and handover performance faced by the current wireless network optimization.In this paper,big data technology and K-means algorithm are deeply studied and discussed,and K-means algorithm is improved to deeply mine the effective information in wireless network,so as to help network optimization. Then through experiments,it is verified that the model performs well in identifying weak coverage and no coverage areas of wireless networks,and significantly improves the accuracy and efficiency of wireless network optimization,in order to provide new ideas and useful reference for wireless network optimization.
维普
万方数据