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A fittingness factor-based spectrum management framework for cognitive radio networks

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10.1007/s11277-013-1128-6
 
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hdl:2117/104221

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Bouali, Faouzi
Sallent Roig, OriolMés informacióMés informacióMés informació
Pérez Romero, JordiMés informacióMés informacióMés informació
Agustí Comes, RamonMés informacióMés informació
Document typeArticle
Defense date2013-03
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
In order to increase cognitive radios (CRs) operation efficiency, there has been an increasing interest in strengthening awareness level about spectrum utilisation. In this respect, this paper proposes to exploit the fittingness factor concept to capture the suitability of spectral resources exhibiting time-varying characteristics to support a set of heterogeneous CR applications. First, a new knowledge management functional architecture for optimizing spectrum management has been constructed. It integrates a set of advanced statistics capturing the influence of the dynamic radio environment on the fittingness factor. Then, a knowledge manager (KM) exploiting these statistics to monitor time-varying suitability of spectrum resources has been proposed to support the spectrum selection (SS) decision-making process. In particular, a new Fittingness Factor-based strategy combining two SS and spectrum mobility (SM) functionalities has been proposed, following either a greedy or a proactive approach. Results have shown that, with a proper fittingness factor function, the greedy approach efficiently exploits the KM support at low loads and the SM functionality at high loads to introduce significant gains in terms of the user dissatisfaction probability. The proactive approach has been shown to maintain the introduced performance gain while minimizing the signalling requirements in terms of spectrum handover rate.
CitationBouali, F., Sallent, J., Perez-Romero, J., Agusti, R. A fittingness factor-based spectrum management framework for cognitive radio networks. "Wireless personal communications", Març 2013, p. 1-15. 
URIhttp://hdl.handle.net/2117/104221
DOI10.1007/s11277-013-1128-6
ISSN0929-6212
Publisher versionhttp://link.springer.com/article/10.1007%2Fs11277-013-1128-6
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  • Departament de Teoria del Senyal i Comunicacions - Articles de revista [2.457]
  • GRCM - Radio Communication Research Group - Articles de revista [144]
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