GCPM: a model for efficient call admission control in wireless cellular networks

Authors:
Lanlan Cong;Beihong Jin;Donglei Cao;Jiannong Cao
Affiliations:
Institute of Software, Chinese Academy of Sciences, Beijing, China;Institute of Software, Chinese Academy of Sciences, Beijing, China;Institute of Software, Chinese Academy of Sciences, Beijing, China;Department of Computing, Hong Kong Polytechnic University, Hung Hom, Hong Kong
Venue:
ISPA'05 Proceedings of the Third international conference on Parallel and Distributed Processing and Applications
Year:
2005

Citing 8
Cited 0

On optimal call admission control in cellular networks

Wireless Networks
Predictive and adaptive bandwidth reservation for hand-offs in QoS-sensitive cellular networks

Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Mobility-based predictive call admission control and bandwidth reservation in wireless cellular networks

Computer Networks: The International Journal of Computer and Telecommunications Networking
An Optimal Distributed Call Admission Control for Adaptive Multimedia in Wireless/Mobile Networks

MASCOTS '00 Proceedings of the 8th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Mobile and Wireless Design Essentials

Mobile and Wireless Design Essentials
Adaptive call admission control for QoS/revenue optimization in CDMA cellular networks

Wireless Networks
Call admission control schemes: a review

IEEE Communications Magazine
Dynamic channel reservation based on mobility in wireless ATM networks

IEEE Communications Magazine

Quantified Score

Hi-index	0.00

Visualization

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.