Cooperative spectrum sensing and localization in cognitive radio systems using compressed sensing
Journal of Sensors, Hindawi, July 2013
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.
| Type: | Journal |
| Langue: | English |
| Ville: | |
| Date: | Juillet 2013 |
| Département: | Communications Mobiles |
| 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, July 2013 and is available at : |
| Bibtex: | @article{EURECOM+4088, 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, {J}uly 2013}, url = {http://www.eurecom.fr/publication/4088} } |
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