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A cognitive management framework for spectrum selection

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10.1016/j.comnet.2013.06.008
 
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hdl:2117/20264

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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 date2013-10-04
Rights accessRestricted access - publisher's policy
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
To increase cognitive radio (CR) operation efficiency, there has been an interest in enhancing the awareness level of spectrum utilization. In this context, this paper builds a new cognitive management functional architecture for spectrum selection (SS). It relies on a knowledge manager (KM) retaining a set of advanced statistics that track the suitability of spectral resources to support a set of heterogeneous applications under varying interference conditions. Based on this architecture, a novel proactive strategy is proposed for both SS and spectrum mobility (SM) functionalities. The required interactions between the proposed decision-making processes are described, and their capability to exhibit robustness to unexpected changes in the radio environment is highlighted. The results show that the proposed strategy efficiently exploits the KM support for low loads, while the SM functionality introduces significant gains for high loads with respect to other strategies. Finally, to assess the practicality of the proposed approach, the signaling requirements in the radio interface are evaluated.
CitationBouali, F. [et al.]. A cognitive management framework for spectrum selection. "Computer networks", 04 Octubre 2013, vol. 57, núm. 14, p. 2752-2765. 
URIhttp://hdl.handle.net/2117/20264
DOI10.1016/j.comnet.2013.06.008
ISSN1389-1286
Publisher versionhttp://www.sciencedirect.com/science/article/pii/S1389128613001928
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  • Departament de Teoria del Senyal i Comunicacions - Articles de revista [2.451]
  • GRCM - Radio Communication Research Group - Articles de revista [144]
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