A Novel Model of Drive Test Data Processing in Wireless Network Optimization

Wireless network optimization is an important factor in the wireless communication constructions and operations. Drive test is a necessary method to evaluate the wireless network performance, but it produces a great many drive test data, and the performance of processing drive test data restricts the capability of wireless network optimization toolkits. Because of the special structure of drive test data, it is necessary to find an available method to process a great number of these data effectively. This paper presents a novel model which can process a huge amount of DTD files and improve the performance of the toolkits