Abstract:

Aiming at the traditional LTE (long term evolution) wireless interference judgment analysis method has insufficient user dimension data,insufficient correlation of quality reasons,and too much dependence on manual analysis.A new method based on MDT (minimized drive test) technology for intelligent analysis of LTE radio interference was proposed.Firstly,the user’s wireless quality data and latitude and longitude information were collected by using MDT and MR (measurement report),and then DBSCAN (density-based spatial clustering of applications with noise) and adaptive clustering algorithm were used to collect the wireless coverage indicators and the latitude and longitude and other data were used for cluster analysis.Finally,the clustered data was imported into the self-built wireless interference judgment model,and the interference type was analyzed to realize the intelligent analysis of LTE wireless interference.Compared with the traditional interference analysis method,the proposed method can avoid the complicated road test process and improve the accuracy of the analysis.Data acquisition clustering and model analysis experiments show that the new method improves the efficiency and location accuracy of data collection,and effectively reduces the time of manual investment while the results are more accurate.

Key words: LTE, MDT, adaptive clustering algorithm, radio interference