Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/16606
Title: Performance Analysis of Adaptive Joint Call Admission Control to Support QoS in Heterogeneous 4G Wireless Networks
Authors: George , Jacqueline John
Mustafa , Nada Abdalla
Keywords: Heterogeneous Networks, Call Admission Control, Bandwidth Adaption, QoS Restoration, QoS Degradation, Congestion
Issue Date: 2015
Publisher: Sudan University of Science and Technology
Citation: George , Jacqueline John . Performance Analysis of Adaptive Joint Call Admission Control to Support QoS in Heterogeneous 4G Wireless Networks \ Jacqueline John George ,Nada Abdalla Mustafa .- Journal of Engineering and Computer Sciences (ECS) .- vol 16 , no1.- 2015.- article
Abstract: Call admission control (CAC) is one of the basic mechanisms for ensuring high quality of service (QoS) offered to the user in Wireless Heterogeneous Networks (HetNet). Based on the available network resources, it estimates the impact of accepting or blocking a new session request. Many CAC algorithms have been proposed in the literature but they were all limited by the available bandwidth. This paper analyses the bandwidth adaptation technique for the Adaptive Joint CAC (AJCAC) algorithm; it is proposed as a solution for congestion; where the AJCAC algorithm degrades the bandwidth of some ongoing users to make room for new incoming ones. A restoration process must take place when the network is underutilized; where the algorithm restores the maximum bandwidth service to the degraded users. In this paper the bandwidth degradation process was investigated and evaluated using a system-level MatLab simulation. The results showed that as the degradation in the bandwidth increases the adaption required in the network increases. On the other hand, degradation in the QoS results in a decrease in the blocking probability.
Description: article
URI: http://repository.sustech.edu/handle/123456789/16606
ISSN: ISSN 1605-427X
Appears in Collections:Volume 16 No. 1

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