TY - GEN
T1 - Cooperative spectrum sensing using random matrix theory
AU - Cardoso, Leonardo S.
AU - Debbah, Merouane
AU - Bianchi, Pascal
AU - Najim, Jamal
PY - 2008/9/18
Y1 - 2008/9/18
N2 - 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.
AB - 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.
U2 - 10.1109/ISWPC.2008.4556225
DO - 10.1109/ISWPC.2008.4556225
M3 - Conference contribution
AN - SCOPUS:51649098814
SN - 9781424416530
T3 - 3rd International Symposium on Wireless Pervasive Computing, ISWPC 2008, Proceedings
SP - 334
EP - 338
BT - 3rd International Symposium on Wireless Pervasive Computing, ISWPC 2008, Proceedings
T2 - 3rd International Symposium on Wireless Pervasive Computing, ISWPC 2008
Y2 - 7 May 2008 through 9 May 2008
ER -