Research on the Data Acquisition Method Improvement for Mobile Communication Network Based on Cloud Computing

Abstract

Aiming at the problem of low efficiency and poor accuracy of data acquisition when using the traditional acquisition method in mobile communication network in the case of external interference. This paper proposes a data acquisition method for mobile communication network based on cloud computing, the data eigenvector is extracted and effectively identify from the timefrequency distribution collected by the mobile communication network equipment. The ADASYN algorithm is used to remove redundancy information based on cloud computing to accurately capture the data of mobile communication network. The experimental results show that the proposed method can effectively achieve the acquisition of mobile communication network data with high accuracy and efficiency.