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2019 | OriginalPaper | Chapter

Forecasting Model for Voice and Internet Data Traffic During Peak Time Using Hidden Markov Model

Authors : R. A. Jugurnauth, J. Ramashire

Published in: Smart and Sustainable Engineering for Next Generation Applications

Publisher: Springer International Publishing

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Abstract

Modelling processes is one of the core objectives of the scientific world. Since mobile communication has become one of the most booming technologies of this era, mobile operators around the world call for proper modelling and forecasting of the traffic for smarter investment of their resources. In this paper, a powerful stochastic modelling technique, the Hidden Markov Modelling (HMM) has been used to develop a forecasting model for voice traffic over 2G and 3G, and internet data traffic over 3G and 4G during peak time via supervised learning. The designed model has been developed to forecast mobile communication traffic in Mauritius, a country with limited prediction models in this specific field.

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Literature
1.
2.
Blunsom, P.: Hidden markov models. Lecture Notes (2004)
3.
Huang, X.D., Ariki, Y., Jack, M.A.: Hidden Markov Models for Speech Recognition. Edinburgh University Press, Edinburgh (1990)
4.
Xie, H., Andreae, P., Zhang, M., Warren, P.: Learning models for English speech recognition. In: Proceedings of the 27th Australasian Conference on Computer Science (2004)
5.
Lawrence, R.: A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE 77.2, 257(86), 257–286 (1989)
6.
Krogh, A., Larsson, B., Von Heijne, G., Sonnhammer, E.L.: Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes. J. Mol. Biol. 305(3), 567–580 (2001)CrossRef
7.
Hassan, M.R., Nath, B.: Stock market forecasting using hidden Markov model: a new approach. In: Proceedings of the Intelligent Systems Design and Applications, ISDA 2005 (2005)
8.
Zhang, D., Jia, Z., Qin, X., Li, D., Du, C., Chen, L., Sheng, L., Li, H.: Busy hour traffic of wireless mobile communication forecasting based on Hidden Markov model. In: Advances in Computer Science and Information Engineering, Heidelberg (2012)
9.
Liu, J., Xue, F., Shu, Y., Zhang, L., Yang, O.: Traffic modeling based on FARIMA models. In: IEEE Canadian Conference, Canada (1999)
10.
Yu, Y., Song, M., Fu, Y., Song, J.: Traffic prediction in 3G mobile networks based on multifractal. Tsinghua Sci. Technol. 18, 398–405 (2013). no. 1007-0214 08/10 l
11.
Wang, J., Peng, Y., Peng, Y.: Mobile communication traffic forecast based on a new fuzzy mode. In: Instrumentation and Measurement Technology Conference, Singapore (2009)
12.
Anand, C.N.: Internet traffic modeling and forecasting using non-linear time series model. Kansas State University, Manhattan (2009)
13.
14.
Eisner, J.: An interactive spreadsheet for teaching the forward-backward algorithm. In: Proceedings of the ACL-02 Workshop on Effective Tools and Methodologies for Teaching Natural Language Processing and Computational Linguistics, Philadelphia (2002)
15.
16.
Baum, L., Petrie, T., Soules, G., Weiss, N.: A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains. Ann. Math. Stat. 41(1), 164–171 (1970)MathSciNetCrossRef
Metadata
Title
Forecasting Model for Voice and Internet Data Traffic During Peak Time Using Hidden Markov Model
Authors
R. A. Jugurnauth
J. Ramashire
Copyright Year
2019
Book
Smart and Sustainable Engineering for Next Generation Applications

Print ISBN: 978-3-030-18239-7

Electronic ISBN: 978-3-030-18240-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-18240-3_14