DocumentCode :
541766
Title :
Cell segmentation based handoff call resource management in wireless cellular mobile networks
Author :
Venkatachalam, K. ; Balasubramanie, P.
Author_Institution :
Dept. of ECE, Velalar Coll. of Eng. & Technol., Erode, India
fYear :
2010
fDate :
27-29 Dec. 2010
Firstpage :
346
Lastpage :
351
Abstract :
The main aim of future wireless multimedia networks is to provide sufficient amount of resource to a multimedia call. Reserving required amount of resource in advance to a future new and handoff call is better than rejecting a call at neck of the moment due to insufficient resource at a particular time. This paper presents an efficient handoff resource management strategy by considering the future resource demands of a wireless multimedia call. Here a novel wiener based resource estimation and reservation method is adopted to estimate the instantaneous resource demands of a mobile user. Cell segmentation technique is introduced and utilized to predict the resource demands more accurately in a real time manner. The performance result shows this synergy of resource reservation using pilot sensing and cell segmentation have been decrease the call dropping probability of the handoff calls and increases the micro and pico cellular system performance in real time environments.
Keywords :
microcellular radio; multimedia communication; picocellular radio; probability; telecommunication network management; cell segmentation technique; handoff call resource management; handoff calls; microcellular system; mobile user; multimedia call dropping probability; picocellular system; pilot sensing; resource reservation method; wiener based resource estimation; wireless cellular mobile network; wireless multimedia network; Estimation; Mobile communication; Mobile computing; Multimedia communication; Transceivers; Wireless communication; Wireless sensor networks; Call Dropping Probability (CDP); Cell Segmentation (CS); Handoff(HO); Resource Estimation(RE); Resource Reservation(RR); Wireless Multimedia Networks (WMN);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication and Computational Intelligence (INCOCCI), 2010 International Conference on
Conference_Location :
Erode
Type :
conf
Filename :
5738755
Link To Document :
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