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A Fittingness Factor-Based Spectrum Management Framework for Cognitive Radio Networks

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An Erratum to this article was published on 20 April 2013

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.

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Acknowledgments

This work is performed in the framework of the European-Union funded project OneFIT (www.ict-onefit.eu). The project is supported by the European Community’s Seventh Framework Program (FP7). The views expressed in this document do not necessarily represent the views of the complete consortium. The Community is not liable for any use that may be made of the information contained herein. The work is also supported by the Spanish Research Council and FEDER funds under ARCO grant (ref. TEC2010-15198) and by the Spanish Ministry of Science and Innovation (MICINN) under FPI grant BES-2009-017934.

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  1. Department of Signal Theory and Communications (TSC), Universitat Politècnica de Catalunya (UPC), c/ Jordi Girona, 1–3 Campus Nord—Edifici D4, 08034 , Barcelona, Spain

    Faouzi Bouali, Oriol Sallent, Jordi Pérez-Romero & Ramon Agustí

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  1. Faouzi Bouali
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  2. Oriol Sallent
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  4. Ramon Agustí
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Correspondence to Faouzi Bouali.

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Bouali, F., Sallent, O., Pérez-Romero, J. et al. A Fittingness Factor-Based Spectrum Management Framework for Cognitive Radio Networks. Wireless Pers Commun 72, 1675–1689 (2013). https://doi.org/10.1007/s11277-013-1128-6

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