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Wireless Personal Communications

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29.05.2017

A QoS Aware Learning Automata Based Channel Assignment Method in Cognitive Network

verfasst von: Setareh Rasaneh, Mohsen Jahanshahi

Erschienen in: Wireless Personal Communications | Ausgabe 1/2017

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Abstract

With the rapid growth of wireless services and technologies, and as a result, increasing demand for the spectrum, cognitive network (CN) has been proposed as a promising solution for accomplishing the problem of spectrum scarcity. Channel assignment (CA) problem in CN is NP-complete and hence, in terms of scalability it should be solved through heuristic or meta-heuristic approaches. The main goal of dynamic CA in CN environment is to improve the QoS provisioning for SUs as well as protecting the Primary Users (PUs) from interference. To achieve this goal, a Secondary User may have to change its transmission channel several times during the established communication. Channel switching is a costly task due to the time overhead and interruptions that imposes on the given communication. To overcome these problems, two learning based dynamic CA methods are introduced; In the first method, by proposing a channel allocation scheme based on learning automata a trade-off between different QoS parameters will be made. In the second method, it is trying to decrease the overhead and interruptions because of switching channels of the first algorithm. Simulation results demonstrate the superiority of the proposed method in terms of delay, data delivery ratio, throughput, and data loss rate in comparison with other representative methods.

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Titel: A QoS Aware Learning Automata Based Channel Assignment Method in Cognitive Network
verfasst von: Setareh Rasaneh
Mohsen Jahanshahi
Publikationsdatum: 29.05.2017
Verlag: Springer US
Erschienen in: Wireless Personal Communications / Ausgabe 1/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-017-4516-5

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