Traffic pattern prediction in cellular networks

Author

Zhang, Kejing ; Cuthbert, Laurie

Author_Institution

Dept. of Electron. Eng., Queen Mary, Univ. of London, London, UK

fYear

2008

fDate

19-21 Nov. 2008

Firstpage

549

Lastpage

553

Abstract

Early detection and rapid resolution network congestion can considerably improve network capacity. Consequently, much research has been carried out on predicting traffic patterns in 3G networks. This paper introduces an access point centric approach implemented based on the order-k Markov model. The feasibility of this order-k Markov predictor is evaluated, and the prediction performance of predictors with different order values is compared. Finally, we conclude that the order-4 Markov model is competent for both the one-step-ahead and multi-step-ahead traffic pattern predictions.

Keywords

3G mobile communication; Markov processes; cellular radio; prediction theory; telecommunication congestion control; telecommunication network management; telecommunication traffic; 3G networks; access point centric approach; cellular networks; network capacity; order-k Markov predictor; traffic pattern prediction; Accuracy; Base stations; Femtocell networks; Land mobile radio cellular systems; Multiaccess communication; Radio control; Resource management; Shape; Telecommunication traffic; Traffic control; Markov chain; Traffic pattern prediction; congestion control; radio resource management;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Systems, 2008. ICCS 2008. 11th IEEE Singapore International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-1-4244-2423-8

Electronic_ISBN

978-1-4244-2424-5

Type

conf

DOI

10.1109/ICCS.2008.4737244

Filename

4737244