Traffic congestion forecasting in WCDMA networks

Author

Zhang, Kejing ; Cuthbert, Laurie

Author_Institution

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

fYear

2008

fDate

25-27 Aug. 2008

Firstpage

992

Lastpage

996

Abstract

Congestion control is considered as a key factor in radio resource management. 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 a traffic forecasting method based on maximum likelihood estimation, which is able to predict traffic patterns when there is random movement of users.

Keywords

3G mobile communication; code division multiple access; maximum likelihood estimation; telecommunication congestion control; telecommunication network management; telecommunication traffic; 3G networks; WCDMA networks; congestion control; early detection; maximum likelihood estimation; radio resource management; rapid resolution network congestion; traffic congestion forecasting; wideband code division multiple access; Antenna radiation patterns; Communication system traffic control; Frequency; Legged locomotion; Maximum likelihood estimation; Multiaccess communication; Pattern matching; Radio control; Resource management; Telecommunication traffic; Traffic prediction; congestion control; maximum likelihood estimation; radio resource management;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Networking in China, 2008. ChinaCom 2008. Third International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4244-2373-6

Electronic_ISBN

978-1-4244-2374-3

Type

conf

DOI

10.1109/CHINACOM.2008.4685191

Filename

4685191