Value Analysis and Research in the Field of Mobile Communication

Qian ZHU, Sui-xiang GAO, Jing WANG, Yi-xin GENG

Abstract


With the popularization of smart devices, the demand for mobile communication is increasing. The pursuit of stronger signals and faster transmission rates make effective value assessment and rational allocation of resources more important. In this paper, mobile communication value assessment problem is converted into base station classification problem with data, the high-value base station densely distributed area is the high-value mobile communication area. We have given a new value partitioning solution based on machine learning classification model, and on the real test set has achieved far better than the traditional method.

Keywords


Multiple data source, High value, Machine learning, Classification algorithm


DOI
10.12783/dtcse/msota2018/27569

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