Controllable Correlation Big Data Dynamic Prediction Model for Mobile Communication

Abstract

At present, there were many mobile communication deviees in China. In order to improve the prediction effect of mobile communication and realize the scalability and dynamic evolution of the prediction system, a dynamic prediction model of controllable correlation big data for mobile communication was proposed. The application experiment was carried out, and the experimental results of various models were compared and analyzed. The experimental results showed that the model fully integrated the openness, extensibility and big data dynamic prediction advantages of mobile communication. The communication quality, total duration and quantitative qualitative prediction of con trollable correlation big data based on mobile communication in big data environment were realizedÇ4bstract).