A Method for Mobility Management in Cellular Networks Using Data Mining

被引：0

作者：

Giang Minh Duc ^{[1
]}

Le Manh ^{[2
]}

Do Hong Tuan ^{[1
]}

机构：

[1] HCM City Univ Technol, Ho Chi Minh City, Vietnam

[2] Van Hien Univ, Ho Chi Minh City, Vietnam

来源：

CONTEXT-AWARE SYSTEMS AND APPLICATIONS (ICCASA 2016) | 2017年 / 193卷

关键词：

Data mining; Mobility rules; Mobility prediction; Cellular networks; PREDICTION; SUPPORT;

D O I：

10.1007/978-3-319-56357-2_20

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The Mobility prediction is one of the important issues in mobile computing systems. The moving logs of mobile users in mobile computing environment are stored in the Home Location Registry (HLR). The generated moving logs are used for mining mobility patterns. The discovered location patterns can be used to provide various location based services to the mobile user by the application server in mobile computing environment. Currently, some papers have written about mobility data mining methods of mobile users in cellular communications networks. In this paper, we propose a method which decrease time to compute the mobility patterns.

引用

页码：193 / 204

页数：12

共 16 条

[1] Predictive mobility support for QoS provisioning in mobile wireless environments [J].