Analysis and Modeling of False Synchronizations in 3G-WLAN Integrated Networks
Identifieur interne : 000054 ( Main/Exploration ); précédent : 000053; suivant : 000055Analysis and Modeling of False Synchronizations in 3G-WLAN Integrated Networks
Auteurs : Christoforos Ntantogian [Grèce] ; Christos Xenakis [Grèce] ; Ioannis Stavrakakis [Grèce]Source :
English descriptors
Abstract
Recently, a set of problems have been solved analytically, in order to improve various aspects of the authentication procedure in mobile networks. In these problems, an analytical model is derived, which is used to draw guidelines on the selection of the appropriate value of various system parameters. We observe that all these problems can be solved using a generic modeling procedure that is based on Markov chains assuming exponential distributions. In this paper we apply this generic modeling procedure to the problem of false synchronizations in 3G-WLAN integrated networks. To this end, we first elaborate on false synchronization using a numerical example that facilitates the better understanding of the presented notions. Then, an analytical model based on a four dimensional Markov chain is developed, using the generic modeling procedure, whose accuracy is verified through simulations.
Url:
DOI: 10.1007/978-3-642-30436-1_39
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Recently, a set of problems have been solved analytically, in order to improve various aspects of the authentication procedure in mobile networks. In these problems, an analytical model is derived, which is used to draw guidelines on the selection of the appropriate value of various system parameters. We observe that all these problems can be solved using a generic modeling procedure that is based on Markov chains assuming exponential distributions. In this paper we apply this generic modeling procedure to the problem of false synchronizations in 3G-WLAN integrated networks. To this end, we first elaborate on false synchronization using a numerical example that facilitates the better understanding of the presented notions. Then, an analytical model based on a four dimensional Markov chain is developed, using the generic modeling procedure, whose accuracy is verified through simulations.</div>
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