@inproceedings{d64fd153de554acbb445d952cd56b843,
title = "Traffic forecasting for mobile networks with multiplicative seasonal ARIMA models",
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.",
keywords = "Mobile network management, Multiplicative seasonal ARIMA models, Traffic forecasting",
author = "Guo Jia and Peng Yu and Peng Xiyuan and Chen Qiang and Yu Jiang and Dai Yufeng",
year = "2009",
doi = "10.1109/ICEMI.2009.5274287",
language = "英语",
isbn = "9781424438624",
series = "ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments",
pages = "3377--3380",
booktitle = "ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments",
note = "9th International Conference on Electronic Measurement and Instruments, ICEMI 2009 ; Conference date: 16-08-2009 Through 19-08-2009",
}