TY - JOUR
T1 - Cooperative sensing for primary detection in cognitive radio
AU - Unnikrishnan, Jayakrishnan
AU - Veeravalli, Venugopal V.
N1 - Funding Information:
Manuscript received April 13, 2007; revised November 9, 2007. This work was supported by the NSF under Award CCF 0049089, through the University of Illinois at Urbana-Champaign, and by a Vodafone Foundation Graduate Fellowship. This paper was presented in part at the Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, Nov. 2007 and at IEEE Globecom 2007, Washington, DC. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Ananthram Swami.
PY - 2008/2
Y1 - 2008/2
N2 - One of the main requirements of cognitive radio systems is the ability to reliably detect the presence of licensed primary transmissions. Previous works on the problem of detection for cognitive radio have suggested the necessity of user cooperation in order to be able to detect at the low signal-to-noise ratios experienced in practical situations. We consider a system of cognitive radio users who cooperate with each other in trying to detect licensed transmissions. Assuming that the cooperating nodes use identical energy detectors, we model the received signals as correlated log-normal random variables and study the problem of fusing the decisions made by the individual nodes. We design a linear-quadratic (LQ) fusion strategy based on a deflection criterion for this problem, which takes into account the correlation between the nodes. Using simulations we show that when the observations at the sensors are correlated, the LQ detector significantly outperforms the Counting Rule, which is the fusion rule that is obtained by ignoring the correlation.
AB - One of the main requirements of cognitive radio systems is the ability to reliably detect the presence of licensed primary transmissions. Previous works on the problem of detection for cognitive radio have suggested the necessity of user cooperation in order to be able to detect at the low signal-to-noise ratios experienced in practical situations. We consider a system of cognitive radio users who cooperate with each other in trying to detect licensed transmissions. Assuming that the cooperating nodes use identical energy detectors, we model the received signals as correlated log-normal random variables and study the problem of fusing the decisions made by the individual nodes. We design a linear-quadratic (LQ) fusion strategy based on a deflection criterion for this problem, which takes into account the correlation between the nodes. Using simulations we show that when the observations at the sensors are correlated, the LQ detector significantly outperforms the Counting Rule, which is the fusion rule that is obtained by ignoring the correlation.
KW - Cooperative sensing
KW - Correlated observations
KW - Decentralized detection
KW - Fusion
KW - Linear-quadratic detector
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U2 - 10.1109/JSTSP.2007.914880
DO - 10.1109/JSTSP.2007.914880
M3 - Article
AN - SCOPUS:40849130243
SN - 1932-4553
VL - 2
SP - 18
EP - 27
JO - IEEE Journal on Selected Topics in Signal Processing
JF - IEEE Journal on Selected Topics in Signal Processing
IS - 1
ER -