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

梁飞; 卜忠贵; 李玮

doi:10.13992/j.cnki.tetas.2021.08.003

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

更新时间：2026-04-20

- Research on big data characteristics and data volume prediction method in 5G
- Vol. 34, Issue 8, Pages: 6-10(2021)
- 作者机构：
  
  中国移动通信集团设计院有限公司
- 作者简介：
- 基金信息：
- DOI：10.13992/j.cnki.tetas.2021.08.003
  CLC： TP311.13;TN929.5
- Published：2021
- 稿件说明：
移动端阅览
梁飞, 卜忠贵, 李玮. Research on big data characteristics and data volume prediction method in 5G[J]. 2021, 34(8): 6-10.
DOI：

梁飞, 卜忠贵, 李玮. Research on big data characteristics and data volume prediction method in 5G[J]. 2021, 34(8): 6-10. DOI： 10.13992/j.cnki.tetas.2021.08.003.

摘要

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。

Abstract

With the rapid popularization of 5 G technology and application

all kinds of data will grow more rapidly. Big data in 5 G 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 5 G wide application. Combined with the business scenario and technical characteristics of 4 G

this paper analyzed the business characteristics of 5 G 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.

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