Title :
Cooperative spectrum sensing using random matrix theory
Author :
Cardoso, Leonardo S. ; Debbah, Merouane ; Bianchi, Pascal ; Najim, Jamal
Author_Institution :
SUPELEC, Gif-sur-Yvette
Abstract :
In this paper, using tools from asymptotic random matrix theory, a new cooperative scheme for frequency band sensing is introduced for both AWGN and fading channels. Unlike previous works in the field, the new scheme does not require the knowledge of the noise statistics or its variance and is related to the behavior of the largest and smallest eigenvalue of random matrices. Remarkably, simulations show that the asymptotic claims hold even for a small number of observations (which makes it convenient for time-varying topologies), outperforming classical energy detection techniques.
Keywords :
AWGN channels; eigenvalues and eigenfunctions; fading channels; frequency allocation; matrix algebra; random processes; AWGN channel; asymptotic random matrix theory; cooperative spectrum sensing; eigenvalue method; fading channel; frequency band sensing; noise statistics; AWGN; Additive white noise; Cognitive radio; Eigenvalues and eigenfunctions; FCC; Fading; Frequency; Gaussian noise; Signal detection; Statistics;
Conference_Titel :
Wireless Pervasive Computing, 2008. ISWPC 2008. 3rd International Symposium on
Conference_Location :
Santorini
Print_ISBN :
978-1-4244-1652-3
Electronic_ISBN :
978-1-4244-1653-0
DOI :
10.1109/ISWPC.2008.4556225