In this paper, data reported by the mobile terminal, including longitude and latitude, in addition to the ID of the base station are collected. Then machine learning techniques are employed to obtain the simulated coverage of the base stations, hence advoiding the waste of resources in over-construction, at the same time saving the high temporal and financial costs in on-site measuring of parameters, laying a solid foundation for efficient network construction.