In this paper, we propose to analyze and combine two of the main enabling features of cognitive radio: location awareness and spectrum sensing with taking into account one of the most challenging hardware limitation that cognitive radio may suffer from: signal acquisition at a Nyquist rate. During the problem formulation and when analyzing more deeply the equations related to each question apart, we will make the link between the formulation of spectrum sensing, location awareness and the hardware limitation by describing those problems in a unique compressed sensing formalism. Via the proposed framework, and compared to what has already been proposed, we made it possible to overcame another challenging postulate of fixed frequency spectrum allocation by also estimating the spectrum usage boundaries dynamically and in a fully blind way.
A compressive sampling approach for spectrum sensing and terminals localization in cognitive radio networks
CAMAD 2012, IEEE 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, September 17-19, 2012, Barcelona, Spain
Systèmes de Communication
© 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
PERMALINK : https://www.eurecom.fr/publication/3770