Title :
Traffic congestion forecasting in WCDMA networks
Author :
Zhang, Kejing ; Cuthbert, Laurie
Author_Institution :
Dept. of Electron. Eng., Queen Mary, Univ. of London, London
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;
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
DOI :
10.1109/CHINACOM.2008.4685191
