5G时代大数据特点和数据量预测方法研究

Research on big data characteristics and data volume prediction method in 5G

随着5G技术及其应用的迅速普及,各类数据将会更加迅猛地增长,5G时代的大数据将会在数据结构组成和业务分布等方面出现显著的变化。本文研究5G广泛应用背景下大数据的特点以及数据量的预测方法。结合4G业务场景和技术特点,分析5G时代的业务特点;将数据进行产业细分,深入探讨不同业务和数据的特点,从而给出更能贴合具体场景的数据预测模型和方法。

With the rapid popularization of 5G technology and application,all kinds of data will grow more rapidly.Big data in 5G will have significant changes in data structure composition and business distribution.This paper analyzed the characteristics of big data and the prediction method of data volume under the background of 5G wide application.Combined with the business scenario and technical characteristics of 4G,this paper analyzed the business characteristics of 5G era,classified the data,subdivided the related industries,and deeply discussed the characteristics of different businesses and data,so as to give a prediction model and method that can better fi t the scenario.