DocumentCode :
3506635
Title :
Location update for PCS networks with a fractional movement threshold
Author :
Xiao, Yang ; Wu, Kui
Author_Institution :
Comput. Sci. Div., Univ. of Memphis, TN, USA
fYear :
2003
fDate :
19-22 May 2003
Firstpage :
825
Lastpage :
829
Abstract :
Many dynamic location update schemes, such as the time-based, movement-based, and distance-based schemes, have been studied in the location management for Personal Communication Service networks, whereas the movement-based scheme is the most practical approach. In this paper, we propose a novel fractional movement-based location update scheme, in which the movement threshold is a real number with a fraction instead of an integer. We prove analytically that there is a unique optimal fractional movement threshold that minimizes the total cost of location updates and paging per call arrival. Our study shows that the fractional movement-based scheme outperforms the pure movement-based scheme. Furthermore, we propose a hybrid location management scheme, in which when the call-to-mobility ratio is larger than another threshold, the optimal fractional movement-based scheme is adopted. Otherwise, the static location update scheme is adopted. The Newton approximation method is adopted to find the 2nd threshold.
Keywords :
Newton method; mobile communication; personal communication networks; Newton approximation method; dynamic location update schemes; fractional movement threshold; hybrid location management scheme; personal communication service networks; static location update scheme; Approximation methods; Computer network management; Computer science; Cost function; Databases; Electronic mail; GSM; Land mobile radio cellular systems; Mobile radio mobility management; Personal communication networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing Systems Workshops, 2003. Proceedings. 23rd International Conference on
Print_ISBN :
0-7695-1921-0
Type :
conf
DOI :
10.1109/ICDCSW.2003.1203654
Filename :
1203654
Link To Document :
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