DocumentCode :
1593055
Title :
Kalman-filter-based predictive location management for PCS networks
Author :
Shum, Kenneth W. ; Sung, Chi Wan
Author_Institution :
Dept. of Comput. Eng. & Inf. Technol., City Univ. of Hong Kong, Kowloon, China
Volume :
4
fYear :
2003
Firstpage :
2701
Abstract :
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.
Keywords :
Kalman filters; paging communication; personal communication networks; telecommunication network management; Kalman-filter; PCS networks; location area; location updating; mobile user; mobility pattern; movement-based location management schemes; paging message; personal communication services; predictive location management; Base stations; Computer network management; Computer networks; Costs; Engineering management; Information technology; Personal communication networks; Shape; Size control; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2003. VTC 2003-Spring. The 57th IEEE Semiannual
ISSN :
1090-3038
Print_ISBN :
0-7803-7757-5
Type :
conf
DOI :
10.1109/VETECS.2003.1208883
Filename :
1208883
Link To Document :
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