A Novel Long Term Traffic Forecast Algorithm and Case Study for China

被引：0

作者：

Zhang Dongchen ^{[1
]}

Wang Shoufeng ^{[1
]}

Xu Xiaoyan ^{[1
]}

Li Xingzheng ^{[1
]}

Yao Wenwen ^{[1
]}

Wang Tinglan ^{[1
]}

机构：

[1] China Mobile Grp Design Inst Co Ltd, Div Res, Beijing, Peoples R China

来源：

2014 28TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (WAINA) | 2014年

关键词：

traffic forecast; long-term strategy; telecommunications;

D O I：

10.1109/WAINA.2014.69

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The burst of data leads to new requirement for high capacity of communication networks, bringing more activities for the industry. Some institutes public long term traffic forecasts for individual countries or continents even for the world, few of which have their forecasting methods known to the world. However, long term traffic forecasting is important for the industry to form a long-term strategy for communication development. A long term traffic forecast algorithm is proposed in this paper, and a case study of traffic forecast for China in 2020 is represented as a proof for the proposed algorithm.

引用

页码：425 / 430

页数：6

共 18 条

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