Traffic Forecasting for Mobile Networks with Multiplicative Seasonal ARIMA Models

摘要：

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.

关键词： mobile network management traffic forecasting multiplicative seasonal ARIMA models.

作者: Jia Guo Yu Peng Xiyuan Peng Qiang Chen Jiang Yu Yufeng Dai

作者单位: Automatic Test and Control Institute,Harbin Institute of Technology Harbin 150080,China China Mobile Communications Corporation Heilongjiang Co.Ltd Harbin 150028,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 2505-2508

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）