Threshold optimization of cooperative spectrum sensing in cognitive radio networks

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...

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Main Authors: Liu, Xin, Jia, Min, Tan, Xuezhi
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2014
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Online Access:https://hdl.handle.net/10356/101522
http://hdl.handle.net/10220/18595
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1015222020-03-07T14:00:32Z Threshold optimization of cooperative spectrum sensing in cognitive radio networks Liu, Xin Jia, Min Tan, Xuezhi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio 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. Published version 2014-01-15T06:23:39Z 2019-12-06T20:39:49Z 2014-01-15T06:23:39Z 2019-12-06T20:39:49Z 2012 2012 Journal Article Liu, X., Jia, M., & Tan, X. (2013). Threshold optimization of cooperative spectrum sensing in cognitive radio networks. Radio Science, 48(1), 23-32. 0048-6604 https://hdl.handle.net/10356/101522 http://hdl.handle.net/10220/18595 10.1029/2012RS005009 en Radio science © 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. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio
Liu, Xin
Jia, Min
Tan, Xuezhi
Threshold optimization of cooperative spectrum sensing in cognitive radio networks
description 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.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Liu, Xin
Jia, Min
Tan, Xuezhi
format Article
author Liu, Xin
Jia, Min
Tan, Xuezhi
author_sort Liu, Xin
title Threshold optimization of cooperative spectrum sensing in cognitive radio networks
title_short Threshold optimization of cooperative spectrum sensing in cognitive radio networks
title_full Threshold optimization of cooperative spectrum sensing in cognitive radio networks
title_fullStr Threshold optimization of cooperative spectrum sensing in cognitive radio networks
title_full_unstemmed Threshold optimization of cooperative spectrum sensing in cognitive radio networks
title_sort threshold optimization of cooperative spectrum sensing in cognitive radio networks
publishDate 2014
url https://hdl.handle.net/10356/101522
http://hdl.handle.net/10220/18595
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