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. Introduction With the development of mobile communication technology and the national layout of the communications industry, the scale of China's mobile communication network construction has reached the top level in the world [1-3]. At present, the proportion of users in the mobile communication network in China increases rapidly proportionately, which increases the amount of data in the mobile communication network [4-6]. In this case, with the rapid increase of complaint volume of mobile communication networks, the gradual increase in the size of mobile networks and gradual changes in the business of network users, the diversity of mobile network communication data has emerged and the data of the mobile communication network needs to be collected. How to collect the data of mobile communication network effectively and rapidly has become an urgent problem to be solved in this field, attracting the attention of the majority of scholars and many good methods have also emerged. Literature [9] proposed a method of data acquisition based on linear regression. Constructing communication data model by using linear regression analysis method, maintaining the characteristics of communication data, enabling nodes to transmit only the parameter information of regression model to achieve the collection of communication data, however, there is a problem of incomplete data acquisition. Literature [10] proposed a data acquisition method based on interactive data migration technology, which can clean redundant data and increase the accuracy of data. However, there is a problem of slow data acquisition. Literature [11] proposes a data acquisition method based on thematic crawler, which uses the concept and method of thematic crawler and uses regular expressions to match, effectively increasing the performance of data acquisition, however, there is a problem of inefficient data acquisition. Aiming at the above problems, this paper proposes a method to collect data in mobile communication network based on cloud computing, extracts the eigenvectors of the data from the time-frequency distribution collected by the mobile communication network equipment, and eliminates the external interference and completes the effective identification of data eigenvectors The ADASYN algorithm is used to remove the redundant information, and the data of the mobile communication network is accurately collected based on the cloud computing. The experimental results show that the proposed method can effectively collect the data of the mobile communication network with high accuracy and efficiency.
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