Kalman-filter-based predictive location management for PCS networks

被引：0

作者：

Shum, KW ^{[1
]}

Sung, CW ^{[1
]}

机构：

[1] City Univ Hong Kong, Dept Comp Engn & Informat Technol, Kowloon, Hong Kong, Peoples R China

来源：

57TH IEEE VEHICULAR TECHNOLOGY CONFERENCE, VTC 2003-SPRING, VOLS 1-4, PROCEEDINGS | 2003年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Location management in personal communication services (PCS) networks in general consists of two processes: paging and location updating. A mobile user is registered to a location area (LA), which consists of several neighboring cells. When an incoming call arrives, the system pages the corresponding mobile user by sending a paging message in every cell within his registered LA. We present in this paper a predictive location management scheme that uses Kalman filter to estimate the velocity and predict the future movement of a mobile user. Based on the predicted location and the estimated variance and covariance of the x- and y-coordinates, we move the LA in the direction of the estimated velocity, and we also change its shape dynamically. This method is adaptive to the mobility pattern of each mobile user. The performance is obtained by simulation and compared to the static and movement-based location management schemes.

引用

页码：2701 / 2705

页数：5

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