COMAS: A Cooperative Multiagent Architecture for Spectrum Sharing

<p/> <p>Static spectrum allocation is a major problem in recent wireless network domains. Generally, these allocations lead to inefficient usage creating empty spectrum holes or white spaces. Thus, some alternatives must be ensured in order to mitigate the current spectrum scarcity. An e...

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Main Authors: Mir Usama, Merghem-Boulahia Leila, Ga&#239;ti Dominique
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://jwcn.eurasipjournals.com/content/2010/987691
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spelling doaj-f5b52e5bd0634f778c1a1bd1499707492020-11-24T23:49:16ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992010-01-0120101987691COMAS: A Cooperative Multiagent Architecture for Spectrum SharingMir UsamaMerghem-Boulahia LeilaGa&#239;ti Dominique<p/> <p>Static spectrum allocation is a major problem in recent wireless network domains. Generally, these allocations lead to inefficient usage creating empty spectrum holes or white spaces. Thus, some alternatives must be ensured in order to mitigate the current spectrum scarcity. An effective technology to ensure dynamic spectrum usage is cognitive radio, which seeks the unutilized spectrum portions opportunistically and shares them with the neighboring devices. However, since users generally have a limited knowledge about their environment, we claim that cooperative behavior can provide them with the necessary information to solve the global issues. Therefore, in this paper, we develop a novel approach for spectrum allocation using a multiagent system that enables cognitive radio devices to work cooperatively with their neighboring licensed (or primary user) devices in order to utilize the available spectrum dynamically. The fundamental aspect of our approach is the deployment of an agent on each device which cooperates with its neighboring agents in order to have a better spectrum sharing. Considering the concurrent, distributed, and autonomous nature of the proposed approach, Petri nets are adopted to model the cooperative behaviors of primary and cognitive radio users. Our simulation results show that the proposed solution achieves good performance in terms of spectrum access, sustaining lower communication overhead.</p>http://jwcn.eurasipjournals.com/content/2010/987691
collection DOAJ
language English
format Article
sources DOAJ
author Mir Usama
Merghem-Boulahia Leila
Ga&#239;ti Dominique
spellingShingle Mir Usama
Merghem-Boulahia Leila
Ga&#239;ti Dominique
COMAS: A Cooperative Multiagent Architecture for Spectrum Sharing
EURASIP Journal on Wireless Communications and Networking
author_facet Mir Usama
Merghem-Boulahia Leila
Ga&#239;ti Dominique
author_sort Mir Usama
title COMAS: A Cooperative Multiagent Architecture for Spectrum Sharing
title_short COMAS: A Cooperative Multiagent Architecture for Spectrum Sharing
title_full COMAS: A Cooperative Multiagent Architecture for Spectrum Sharing
title_fullStr COMAS: A Cooperative Multiagent Architecture for Spectrum Sharing
title_full_unstemmed COMAS: A Cooperative Multiagent Architecture for Spectrum Sharing
title_sort comas: a cooperative multiagent architecture for spectrum sharing
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1472
1687-1499
publishDate 2010-01-01
description <p/> <p>Static spectrum allocation is a major problem in recent wireless network domains. Generally, these allocations lead to inefficient usage creating empty spectrum holes or white spaces. Thus, some alternatives must be ensured in order to mitigate the current spectrum scarcity. An effective technology to ensure dynamic spectrum usage is cognitive radio, which seeks the unutilized spectrum portions opportunistically and shares them with the neighboring devices. However, since users generally have a limited knowledge about their environment, we claim that cooperative behavior can provide them with the necessary information to solve the global issues. Therefore, in this paper, we develop a novel approach for spectrum allocation using a multiagent system that enables cognitive radio devices to work cooperatively with their neighboring licensed (or primary user) devices in order to utilize the available spectrum dynamically. The fundamental aspect of our approach is the deployment of an agent on each device which cooperates with its neighboring agents in order to have a better spectrum sharing. Considering the concurrent, distributed, and autonomous nature of the proposed approach, Petri nets are adopted to model the cooperative behaviors of primary and cognitive radio users. Our simulation results show that the proposed solution achieves good performance in terms of spectrum access, sustaining lower communication overhead.</p>
url http://jwcn.eurasipjournals.com/content/2010/987691
work_keys_str_mv AT mirusama comasacooperativemultiagentarchitectureforspectrumsharing
AT merghemboulahialeila comasacooperativemultiagentarchitectureforspectrumsharing
AT ga239tidominique comasacooperativemultiagentarchitectureforspectrumsharing
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