OPTIMIZATION OF MULTIPLE-CHANNEL COOPERATIVE SPECTRUM SENSING WITH DATA FUSION RULE IN COGNITIVE RADIO NETWORKS
This paper focuses on multi-channel Cooperative Spectrum Sensing （CSS） where Secondary Users （SUs） are assigned to cooperatively sense multiple channels simultaneously. A multi-channel CSS optimization problem of joint spectrum sensing and SU assignment based on data fusion rule is for- mulated, whi...
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| Published in | Journal of electronics (China) Vol. 29; no. 6; pp. 515 - 522 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Heidelberg
SP Science Press
01.11.2012
National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0217-9822 1993-0615 |
| DOI | 10.1007/s11767-012-0863-2 |
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| Abstract | This paper focuses on multi-channel Cooperative Spectrum Sensing （CSS） where Secondary Users （SUs） are assigned to cooperatively sense multiple channels simultaneously. A multi-channel CSS optimization problem of joint spectrum sensing and SU assignment based on data fusion rule is for- mulated, which maximizes the total throughput of the Cognitive Radio Network （CRN） subject to the constraints of probabilities of detection and false alarm. To address the optimization problem, a Branch and Bound （BnB） algorithm and a greedy algorithm are proposed to obtain the optimal solutions. Simulation results are presented to demonstrate the effectiveness of our proposed algorithms and show that the throughput improvement is achieved through the joint design. It is also shown that the greedy algorithm with a low complexity achieves the comparable performance to the exhaustive algorithm. |
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| AbstractList | This paper focuses on multi-channel Cooperative Spectrum Sensing (CSS) where Secondary Users (SUs) are assigned to cooperatively sense multiple channels simultaneously. A multi-channel CSS optimization problem of joint spectrum sensing and SU assignment based on data fusion rule is formulated, which maximizes the total throughput of the Cognitive Radio Network (CRN) subject to the constraints of probabilities of detection and false alarm. To address the optimization problem, a Branch and Bound (BnB) algorithm and a greedy algorithm are proposed to obtain the optimal solutions. Simulation results are presented to demonstrate the effectiveness of our proposed algorithms and show that the throughput improvement is achieved through the joint design. It is also shown that the greedy algorithm with a low complexity achieves the comparable performance to the exhaustive algorithm. This paper focuses on multi-channel Cooperative Spectrum Sensing （CSS） where Secondary Users （SUs） are assigned to cooperatively sense multiple channels simultaneously. A multi-channel CSS optimization problem of joint spectrum sensing and SU assignment based on data fusion rule is for- mulated, which maximizes the total throughput of the Cognitive Radio Network （CRN） subject to the constraints of probabilities of detection and false alarm. To address the optimization problem, a Branch and Bound （BnB） algorithm and a greedy algorithm are proposed to obtain the optimal solutions. Simulation results are presented to demonstrate the effectiveness of our proposed algorithms and show that the throughput improvement is achieved through the joint design. It is also shown that the greedy algorithm with a low complexity achieves the comparable performance to the exhaustive algorithm. |
| Author | Yu Huogen Tang Wanbin Li Shaoqian |
| AuthorAffiliation | ational Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China |
| AuthorAffiliation_xml | – name: National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China |
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| Cites_doi | 10.1109/JPROC.2009.2015716 10.1109/TWC.2008.060869 10.1109/LCOMM.2010.111910.101806 10.1109/TWC.2010.03.090467 10.1109/JSAC.2004.839380 10.1109/ICC.2010.5502049 10.1017/CBO9780511804441 |
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| Copyright | Science Press, Institute of Electronics, CAS and Springer-Verlag Berlin Heidelberg 2012 Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| Keywords | Greedy algorithm Branch and Bound (BnB) algorithm TN92 Cognitive radio Cooperative Spectrum Sensing (CSS) |
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| Notes | This paper focuses on multi-channel Cooperative Spectrum Sensing （CSS） where Secondary Users （SUs） are assigned to cooperatively sense multiple channels simultaneously. A multi-channel CSS optimization problem of joint spectrum sensing and SU assignment based on data fusion rule is for- mulated, which maximizes the total throughput of the Cognitive Radio Network （CRN） subject to the constraints of probabilities of detection and false alarm. To address the optimization problem, a Branch and Bound （BnB） algorithm and a greedy algorithm are proposed to obtain the optimal solutions. Simulation results are presented to demonstrate the effectiveness of our proposed algorithms and show that the throughput improvement is achieved through the joint design. It is also shown that the greedy algorithm with a low complexity achieves the comparable performance to the exhaustive algorithm. Cooperative Spectrum Sensing （CSS）; Cognitive radio; Branch and Bound （BnB） algo-rithm; Greedy algorithm 11-2003/TN |
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| Publisher | SP Science Press National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China |
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| References | Wang, Feng, Zhang (CR4) 2011; 15 Garey, Johnson (CR8) 1979 CR3 Letaief, Zhang (CR2) 2009; 97 CR5 CR9 Fan, Jiang (CR7) 2010; 9 Haykin (CR1) 2005; 23 Liang, Zeng, Peh, Hoang (CR6) 2008; 7 863_CR5 Y. C. Liang (863_CR6) 2008; 7 M. R. Garey (863_CR8) 1979 863_CR3 Z. Wang (863_CR4) 2011; 15 R. Fan (863_CR7) 2010; 9 S. Haykin (863_CR1) 2005; 23 863_CR9 K. B. Letaief (863_CR2) 2009; 97 |
| References_xml | – volume: 97 start-page: 878 issue: 5 year: 2009 end-page: 893 ident: CR2 article-title: Cooperative communications for cognitive radio networks publication-title: Proceedings of the IEEE doi: 10.1109/JPROC.2009.2015716 – ident: CR9 – volume: 7 start-page: 1326 issue: 4 year: 2008 end-page: 1337 ident: CR6 article-title: Sensing-throughput tradeoff for cognitive radio networks publication-title: IEEE Transactions on Wireless Communications doi: 10.1109/TWC.2008.060869 – start-page: 245 year: 1979 end-page: 248 ident: CR8 publication-title: Computers and Intractability: A Guide to the Theory of NP-Completeness – ident: CR5 – ident: CR3 – volume: 15 start-page: 49 issue: 1 year: 2011 end-page: 51 ident: CR4 article-title: An iterative hungarian algorithm based coordinated spectrum sensing strategy publication-title: IEEE Communications Letters doi: 10.1109/LCOMM.2010.111910.101806 – volume: 9 start-page: 1128 issue: 3 year: 2010 end-page: 1138 ident: CR7 article-title: Optimal multi-channel cooperative sensing in cognitive radio networks publication-title: IEEE Transactions on Wireless Communications doi: 10.1109/TWC.2010.03.090467 – volume: 23 start-page: 201 issue: 2 year: 2005 end-page: 220 ident: CR1 article-title: Cognitive radio: brain-empowered wireless communications publication-title: IEEE Journal on Selected Areas in Communications doi: 10.1109/JSAC.2004.839380 – volume: 23 start-page: 201 issue: 2 year: 2005 ident: 863_CR1 publication-title: IEEE Journal on Selected Areas in Communications doi: 10.1109/JSAC.2004.839380 – ident: 863_CR3 doi: 10.1109/ICC.2010.5502049 – start-page: 245 volume-title: Computers and Intractability: A Guide to the Theory of NP-Completeness year: 1979 ident: 863_CR8 – volume: 7 start-page: 1326 issue: 4 year: 2008 ident: 863_CR6 publication-title: IEEE Transactions on Wireless Communications doi: 10.1109/TWC.2008.060869 – volume: 9 start-page: 1128 issue: 3 year: 2010 ident: 863_CR7 publication-title: IEEE Transactions on Wireless Communications doi: 10.1109/TWC.2010.03.090467 – ident: 863_CR5 – volume: 97 start-page: 878 issue: 5 year: 2009 ident: 863_CR2 publication-title: Proceedings of the IEEE doi: 10.1109/JPROC.2009.2015716 – volume: 15 start-page: 49 issue: 1 year: 2011 ident: 863_CR4 publication-title: IEEE Communications Letters doi: 10.1109/LCOMM.2010.111910.101806 – ident: 863_CR9 doi: 10.1017/CBO9780511804441 |
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| Title | OPTIMIZATION OF MULTIPLE-CHANNEL COOPERATIVE SPECTRUM SENSING WITH DATA FUSION RULE IN COGNITIVE RADIO NETWORKS |
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