Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/101522
Title: Threshold optimization of cooperative spectrum sensing in cognitive radio networks
Authors: Liu, Xin
Jia, Min
Tan, Xuezhi
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio
Issue Date: 2012
Source: Liu, X., Jia, M., & Tan, X. (2013). Threshold optimization of cooperative spectrum sensing in cognitive radio networks. Radio Science, 48(1), 23-32.
Series/Report no.: Radio science
Abstract: We consider the threshold optimization problem of cooperative spectrum sensing for cognitive radio (CR) and investigate the threshold optimization algorithm for both single-channel and multichannel cooperative spectrum sensing. In order to obtain the optimal threshold for single-channel cooperative spectrum sensing, we deploy the fusion rules AND Logic, OR Logic, and K-OUT-N Logic. Moreover, an iterative optimization algorithm is proposed to obtain optimal CRs in cooperative spectrum sensing and their optimal thresholds. In multichannel cooperative spectrum sensing, two threshold optimization methods—namely nonrestrained multichannel threshold optimization (NRMTO) and restrained multichannel threshold optimization (RMTO)—have been proposed in order to decrease the total error detection probability of all the subchannels. The simulation results show that in single-channel cooperative spectrum sensing the proposed algorithm outperforms traditional cooperative spectrum sensing with the uniform threshold if the SNR is different, while decreasing the detection performance slightly if the SNR is identical. The results also indicate that the NRMTO can achieve the minimal total error detection probability of multichannel cooperative spectrum sensing, while the RMTO can guarantee the detection performance of each subchannel but with a higher total error detection probability.
URI: https://hdl.handle.net/10356/101522
http://hdl.handle.net/10220/18595
ISSN: 0048-6604
DOI: 10.1029/2012RS005009
Rights: © 2012 American Geophysical Union (AGU). This paper was published in Radio Science and is made available as an electronic reprint (preprint) with permission of AGU. The paper can be found at the following official DOI: [http://dx.doi.org/10.1029/2012RS005009 ].  One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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