Random Traffic Prediction in WCDMA Networks

Author

Zhang, Kejing ; Cuthbert, Laurie

Author_Institution

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

fYear

2008

fDate

12-14 Oct. 2008

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/WiCom.2008.1049

Filename

4678957