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Abstract
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Article Information:
A Multi-Class on Time Call Admission Control for Wireless Broadband Cognitive Networks
Mohamed Khedr and Rayan N. Makki
Corresponding Author: Mohamed Khedr
Submitted: July 27, 2012
Accepted: August 28, 2012
Published: February 21, 2013 |
Abstract:
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Wireless Broadband Cognitive Networks (WBCN) are new trend in networking for better utilization of spectrum and resources. However, in multiservice WBCN networks, Call Admission Control (CAC) is a challenging point to effectively control different traffic loads and prevent the network from being overloaded and thus provide promised QoS. In this Study, we propose a CAC framework and formulate it as an optimization problem, where the demands of both WBCN service providers and cognitive subscribers are taken into account. To solve the optimization problem, we developed an opportunistic multivariate CAC algorithm based on a joint optimization of utility, weighted fairness and greedy revenue algorithms. Extensive simulation results show that, the proposed call admission control framework can meet the expectations of both service providers and subscribers in wireless broadband cognitive networks.
Key words: Fairness, opportunistic Call Admission Control (CAC), Quality of Service (QoS), revenue, utility, Wirless Broadband Cognitive Networks (WBCN),
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Cite this Reference:
Mohamed Khedr and Rayan N. Makki, . A Multi-Class on Time Call Admission Control for Wireless Broadband Cognitive Networks. Research Journal of Applied Sciences, Engineering and Technology, (06): 2098-2106.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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