Cooperative spectrum sensing technique based on sub space analysis for cognitive radio networks

Zayen, Bassem;Hayar, Aawatif
COGIS 2009, COGnitive systems with Interactive Sensors Conference, November 16-18, 2009, Paris, France

 

 

 

 

1, we study the collaborative sensing as a means

 

to improve the performance of the proposed spectrum sensing

 

technique and show their effect on cooperative cognitive radio

 

network. Specifically, we will present the performance evaluation

 

and advantages of this method and propose an optimization

 

method that compute only the first dominates eigenvalues in

 

order to reduce the complexity of the proposed cooperative spectrum

 

sensing algorithm. Simulations results and performances

 

evaluation presented in this paper are based on experimental

 

measurements captured by Eurecom RF Agile Platform.

 

 

 

Recently, a new blind spectrum sensing technique

 

based on signal space dimension estimation was developed for

 

sensing the spectrum holes in the primary user’s bands. The

 

mean idea of this technique is that the number of significant

 

eigenvalues of the covariance matrix of the received signal is

 

directly related to the presence/absence of data in the signal.

 

In this paper


Type:
Conference
City:
Paris
Date:
2009-11-16
Department:
Communication systems
Eurecom Ref:
2886
Copyright:
Copyright SEE. Personal use of this material is permitted. The definitive version of this paper was published in COGIS 2009, COGnitive systems with Interactive Sensors Conference, November 16-18, 2009, Paris, France and is available at :
See also:

PERMALINK : https://www.eurecom.fr/publication/2886