Please use this identifier to cite or link to this item:
Title: GCPM : a model for efficient call admission control in wireless cellular networks
Authors: Cong, L
Jin, B
Cao, D
Cao, J 
Keywords: Call Admission Control
Guard Channel
Guard Channel Prediction Model (GCPM)
Quality of Service (QoS)
Wireless/Mobile Cellular Networks
Issue Date: 2005
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2005, v. 3758 LNCS, p. 945-954 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: Call Admission Control (CAC) is crucial for assuring the quality of service (QoS) of communication in wireless cellular networks. In this paper, we propose a model, called Guard Channel Prediction Model (GCPM), for efficient call admission control satisfying the QoS requirements. A predictive value of the appropriate number of guard channels can be calculated based on this model by using statistical properties of new and handoff call arrival rates and mean call residency time, as well as the total capacity of a specific cell. Simulation studies are carried out to evaluate the performance in comparison with an existing adaptive algorithm under variable traffic loads and mobility patterns. Simulation results show that our proposed GCPM, using the static and fractional Guard Channel policy to process both types of incoming calls based on the predictive values, has gained better QoS with less blocking probabilities of both types of calls and meanwhile, larger network utilizations.
Description: 3rd International Symposium on Parallel and Distributed Processing and Applications, ISPA 2005, Nanjing, 2-5 November 2005
ISBN: 3540297693
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/11576235_94
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Checked on Aug 13, 2017

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.