TY - GEN
T1 - The optimal fusion rule for cooperative spectrum sensing from a diversity perspective
AU - Duan, Dongliang
AU - Yang, Liuqing
AU - Scharf, Louis L.
PY - 2012
Y1 - 2012
N2 - Cooperation among secondary users can greatly improve the spectrum sensing performance in cognitive radio. In our previous work [1], we proposed the diversity as a measure of the cooperative gain and developed cooperative spectrum sensing schemes based on some pre-defined local threshold selections. In this paper, on the other hand, we start the cooperative spectrum sensing development from the fusion rule selection. The detailed analysis of two relatively simple and mathematically tractable rules, namely the AND and the OR rules, is provided in this paper. Interestingly, it is found that the AND rule results in the same performance as the non-cooperative sensing strategy and thus cannot achieve diversity gain at all. On the other hand, it is shown that when SNR is large, the OR rule is optimum according to the large deviation analysis [2] and proved to achieve the maximum diversity gain with better performance than our previous sensing scheme developed in [1]. Based on the fixed decision rule, we find the optimal local sensing threshold accordingly. Numerical results are provided to verify our analyses.
AB - Cooperation among secondary users can greatly improve the spectrum sensing performance in cognitive radio. In our previous work [1], we proposed the diversity as a measure of the cooperative gain and developed cooperative spectrum sensing schemes based on some pre-defined local threshold selections. In this paper, on the other hand, we start the cooperative spectrum sensing development from the fusion rule selection. The detailed analysis of two relatively simple and mathematically tractable rules, namely the AND and the OR rules, is provided in this paper. Interestingly, it is found that the AND rule results in the same performance as the non-cooperative sensing strategy and thus cannot achieve diversity gain at all. On the other hand, it is shown that when SNR is large, the OR rule is optimum according to the large deviation analysis [2] and proved to achieve the maximum diversity gain with better performance than our previous sensing scheme developed in [1]. Based on the fixed decision rule, we find the optimal local sensing threshold accordingly. Numerical results are provided to verify our analyses.
UR - http://www.scopus.com/inward/record.url?scp=84876221631&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84876221631&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2012.6489180
DO - 10.1109/ACSSC.2012.6489180
M3 - Conference contribution
AN - SCOPUS:84876221631
SN - 9781467350518
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 1056
EP - 1060
BT - Conference Record of the 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012
T2 - 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012
Y2 - 4 November 2012 through 7 November 2012
ER -