Graduate School and Research Center in Digital Sciences

Cooperative spectrum sensing and localization in cognitive radio systems using compressed sensing

Guibène, Wael; Slock, Dirk T M

Journal of Sensors, Hindawi, Volume 2013, 26 July 2013, Article ID 606413

In this paper, we propose to fuse two main enabling features in cognitive radio systems (CRS): spectrum sensing and location awareness in a single compressed sensing based formalism. In this way we exploit sparse characteristics of primary units to be detected, both in terms of spectrum used and location occupied. The compressed sensing approach also allows to overcome hardware limitations, in terms of the incapacity to acquire measurements and signals at the Nyquist rate when the spectrum to be scanned is large. Simulation results for realistic network topologies and different compressed sensing reconstruction algorithms testify to the performance and the feasibility of the proposed technique to enable in a single formalism the two main features of cognitive sensor networks.

Document Doi Bibtex

Title:Cooperative spectrum sensing and localization in cognitive radio systems using compressed sensing
Type:Journal
Language:English
City:
Date:
Department:Communication systems
Eurecom ref:4088
Copyright: © Hindawi. Personal use of this material is permitted. The definitive version of this paper was published in Journal of Sensors, Hindawi, Volume 2013, 26 July 2013, Article ID 606413 and is available at : http://dx.doi.org/10.1155/2013/606413
Bibtex: @article{EURECOM+4088, doi = {http://dx.doi.org/10.1155/2013/606413}, year = {2013}, month = {07}, title = {{C}ooperative spectrum sensing and localization in cognitive radio systems using compressed sensing }, author = {{G}uib{\`e}ne, {W}ael and {S}lock, {D}irk {T} {M}}, journal = {{J}ournal of {S}ensors, {H}indawi, {V}olume 2013, 26 {J}uly 2013, {A}rticle {ID} 606413}, url = {http://www.eurecom.fr/publication/4088} }
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