Random Traffic Prediction in WCDMA Networks

被引：0

作者：

Zhang, Kejing ^{[1
]}

Cuthbert, Laurie ^{[1
]}

机构：

[1] Univ London, Dept Elect Engn, London E1 4NS, England

来源：

2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31 | 2008年

关键词：

Traffic prediction; weighted probability; maximum likelihood estimation; radio resource management;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

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.

引用

页码：4376 / 4379

页数：4

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