CLC number: TN92
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2009-10-18
Cited: 7
Clicked: 5747
Hui-fang CHEN, Xu JIN, Lei XIE. Reputation-based linear cooperation for spectrum sensing in cognitive radio networks[J]. Journal of Zhejiang University Science A, 2009, 10(12): 1688-1695.
@article{title="Reputation-based linear cooperation for spectrum sensing in cognitive radio networks",
author="Hui-fang CHEN, Xu JIN, Lei XIE",
journal="Journal of Zhejiang University Science A",
volume="10",
number="12",
pages="1688-1695",
year="2009",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A0820870"
}
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%A Hui-fang CHEN
%A Xu JIN
%A Lei XIE
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A0820870
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T1 - Reputation-based linear cooperation for spectrum sensing in cognitive radio networks
A1 - Hui-fang CHEN
A1 - Xu JIN
A1 - Lei XIE
J0 - Journal of Zhejiang University Science A
VL - 10
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SP - 1688
EP - 1695
%@ 1673-565X
Y1 - 2009
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A0820870
Abstract: We propose a reputation-based cooperative spectrum sensing scheme in cognitive radio (CR) networks to solve the uncertainty resulting from the multipath fading and shadowing effect. In the proposed scheme, each cooperative CR user has a reputation degree that is initialized and adjusted by the central controller, and used to weight the sensing result from the corresponding CR user in the linear fusion process at the central controller. A simple method for adjusting the reputation degree of CR users is also presented. We analyzed and evaluated the detection performance of the reputation-based cooperative spectrum sensing scheme. Simulation results showed that our proposed scheme alleviates the problem of corrupted detection resulting from destructive channel conditions between the primary transmitter and the CR user. The performance of our proposed scheme was improved compared to the average-based linear cooperation scheme, and was similar to that of the optimal linear cooperation scheme with feasible computational complexity. Moreover, our proposed scheme does not require knowledge of channel statistics.
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