Research on Application of Computer Big Data Technology in 5G Communication Network

Abstract

5G mobile communication as one of the important tools of national life, need to ensure network stability and security, network optimization is an important means to accomplish this task, and network prediction is the premise of network optimization. In view of the two chronic problems of traditional network prediction methods, which are lack of user data and based on hypothetical network scenarios, this paper proposes to apply big data technology to network core performance index (KPI) prediction in the form of time series. Meanwhile, support vector machine and association rule technology are used to further optimize the prediction process and prediction results. So that it has a faster prediction rate and higher prediction accuracy. In the process of research and application of this technology, it is necessary to constantly improve the technical system, strengthen technical investigation and research, combine with the demand of mobile communication network, fundamentally improve the effective application of data mining technology. Aiming at the application of data mining technology in mobile communication network optimization to discuss, understanding and analysis of the characteristics of the data mining technology, combined with the construction of the mobile communication network demand, with perfect technology processes, from an objective point of view, analysis the characteristics of the RED algorithm, improve the application of data mining technology in the mobile communication network.