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Traffic forecasting for mobile networks with multiplicative seasonal ARIMA models

  • Guo Jia*
  • , Peng Yu
  • , Peng Xiyuan
  • , Chen Qiang
  • , Yu Jiang
  • , Dai Yufeng
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • China Mobile Communications Group Co., Ltd.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Traffic forecasting is an important task which is required by overload warning and capacity planning for mobile networks. Based on analysis of real data collected by China Mobile Communications Corporation (CMCC) Heilongjiang Co.Ltd, this paper proposes to use the multiplicative seasonal ARIMA models for mobile communication traffic forecasting. Experiments and test results show that the whole solution presented in this paper is feasible and effective to fulfill the requirements in traffic forecasting application for mobile networks.

Original languageEnglish
Title of host publicationICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments
Pages3377-3380
Number of pages4
DOIs
StatePublished - 2009
Event9th International Conference on Electronic Measurement and Instruments, ICEMI 2009 - Beijing, China
Duration: 16 Aug 200919 Aug 2009

Publication series

NameICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments

Conference

Conference9th International Conference on Electronic Measurement and Instruments, ICEMI 2009
Country/TerritoryChina
CityBeijing
Period16/08/0919/08/09

Keywords

  • Mobile network management
  • Multiplicative seasonal ARIMA models
  • Traffic forecasting

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