Title :
Random Traffic Prediction 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 random traffic forecasting method based on the weighted probability and the maximum likelihood estimation, which is able to implement a "dynamic" congestion optimization algorithm for smart antennas.
Keywords :
broadband networks; code division multiple access; maximum likelihood estimation; probability; random processes; telecommunication congestion control; telecommunication traffic; WCDMA network; congestion control; maximum likelihood estimation; radio resource management; random traffic prediction; weighted probability; wideband code division multiple access; Antenna radiation patterns; Communication system traffic control; Legged locomotion; Maximum likelihood estimation; Multiaccess communication; Radio control; Resource management; Shape; Telecommunication traffic; Traffic control;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
DOI :
10.1109/WiCom.2008.1049
