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Wireless Networks
Published in: Wireless Networks 1/2014

01-01-2014

Opportunistic call admission control for wireless broadband cognitive networks

Authors: Mohamed Essam Khedr, Rayan N. Makki Hassan

Published in: Wireless Networks | Issue 1/2014

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Abstract

Wireless Broadband Cognitive Networks (WBCN) are new trend to 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 quality of service. In this paper, 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.
previous article An experimental study of small multi-hop wireless networks using chirp spread spectrum
next article Base station selection and resource allocation in macro–femtocell networks under noisy scenario

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Metadata
Title
Opportunistic call admission control for wireless broadband cognitive networks
Authors
Mohamed Essam Khedr
Rayan N. Makki Hassan
Publication date
01-01-2014
Publisher
Springer US
Published in
Wireless Networks / Issue 1/2014
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-013-0596-7

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