DocumentCode :
166524
Title :
A Novel Long Term Traffic Forecast Algorithm and Case Study for China
Author :
Zhang Dongchen ; Wang Shoufeng ; Xu Xiaoyan ; Li Xingzheng ; Yao Wenwen ; Wang Tinglan
Author_Institution :
China Mobile Group Design Inst. Co. Ltd., Beijing, China
fYear :
2014
fDate :
13-16 May 2014
Firstpage :
425
Lastpage :
430
Abstract :
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.
Keywords :
Long Term Evolution; telecommunication traffic; communication networks; long term traffic forecast algorithm; Forecasting; Market research; Mobile communication; Mobile computing; Sociology; Statistics; long-term strategy; telecommunications; traffic forecast;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications Workshops (WAINA), 2014 28th International Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
978-1-4799-2652-7
Type :
conf
DOI :
10.1109/WAINA.2014.69
Filename :
6844674
Link To Document :
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