Due to the performance of terminal equipment

the current 5G MR data collection lacks longitude and latitude information

and operators are unable to accurately locate 5G users and accurately analyze 5G wireless network coverage. In this study

through in-depth mining and analysis of 5G user level control surface XDR data and MR data

combined with location learning algorithm and deviation correction algorithm to learn and identify the user location

so as to realize the accurate positioning of 5G users

so as to improve the accuracy and reliability of user coverage evaluation

improve the effi ciency of network optimization

and provide solid support for 5G network planning.