NDLI: Exploiting knowledge management for supporting spectrum selection in Cognitive Radio networks

Content Provider	IEEE Xplore Digital Library
Author	Bouali, F. Sallent, O. Perez-Romero, J. Agusti, R.
Copyright Year	2012
Description	Author affiliation: Signal Theor. & Commun. Dept., Univ. Politec. de Catalunya, Barcelona, Spain (Bouali, F.; Sallent, O.; Perez-Romero, J.; Agusti, R.)
Abstract	In order to increase Cognitive Radio operation efficiency, this paper builds up a new knowledge management functional architecture for supporting spectrum management. It integrates the fittingness factor concept proposed by the authors in a prior work and includes a set of advanced statistics capturing the influence of the radio environment. Then, a Knowledge Manager (KM) exploiting these statistics and observed fittingness factor values has been developed to monitor the time-varying suitability of spectrum resources to support heterogeneous services. Based on estimated suitability levels, a new strategy combining Spectrum Selection (SS) and Spectrum Mobility (SM) functionalities has been proposed. Results have shown that the proposed strategy efficiently exploits the KM support at low loads and the SM functionality at high loads to introduce significant gains (ranging from 85% to 100%) w.r.t. a pure random selection while exhibiting substantial robustness to changes in interference levels.
Starting Page	259
Ending Page	264
File Size	180627
Page Count	6
File Format	PDF
ISBN	9781467329767
ISSN	21665419
e-ISBN	9781936968558
DOI	10.4108/icst.crowncom.2012.248148
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-18
Publisher Place	Sweden
Access Restriction	Subscribed
Rights Holder	ICST
Subject Keyword	Decision making Bit rate Interference Radio link Knowledge management Monitoring Radio spectrum management
Content Type	Text
Resource Type	Article

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