The New Research of Spectrum Sensing Technology for Cognitive Radio

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Abstract:

With the rapid development of wireless communication technology, the shortage of spectrum resources is becoming more and more serious, and may even become a bottleneck restricting of the development wireless communication technology in the future. Now, Spectrum sensing technology, spectrum sharing technology and spectrum management technology is the three core technologies of cognitive radio spectrum,and sensing technology is to implement the follow-up of spectrum sharing and the premise of spectrum management.So mainly to the current model of the cognitive radio spectrum sensing technology,to make a classification and comparison, finally it is concluded that cognitive users under the environment of higher signal-to-noise ratio, the better results of the perceived performance.

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Periodical:

Advanced Materials Research (Volumes 945-949)

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2301-2305

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Chen Xing, Bie Zhi-song, Wu Wei-ling. Detection efficiency of cooperative spectrum sensing in cognitive radio network [J]. THE JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOMMUNICATIONS, 2008, 15(3): 1-7.

DOI: 10.1016/s1005-8885(08)60098-9

Google Scholar

[2] XIE Shengli, LIU Yi, ZHANG Yan. A Parallel Cooperative Spectrum Sensing in Cognitive Radio Networks[J]. VehicularTechnology, IEEE, 2010, 59(8):4079-4092.

DOI: 10.1109/tvt.2010.2056943

Google Scholar

[3] AISSA I, FRIKHA M, TABBANE S. Dynamic Spectrum HoleManagement in Cognitive Radio[C]/New Technologies, Mobilityand Security(NTMS), 2011 4th IFIP International Conference on 2011:l一4.

DOI: 10.1109/ntms.2011.5720585

Google Scholar

[4] Seyed Hossein, Seyedmehdi, Ben Liang. Data Rate and Throughput Analysis of Cooperative Cognitive Radio Under a Collision Model [J]. IEEE INFOCOM 2011 Workshop On Cognitive &Cooperative Networks, 2011: 57-62.

DOI: 10.1109/infcomw.2011.5928880

Google Scholar

[5] Raghuram Ranganathan, Robert Qiu, Zhen Hu, Shujie Hou, Marbin Pazos-Revilla, Gang Zheng, Zhe Chen, Nan Guo. Cognitive Radio for Smart Grid: Theory, Algorithms, and Security [J]. International Journal of Digital Multimedia Broadcasting, 2011: 1-14.

DOI: 10.1155/2011/502087

Google Scholar