• 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