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A signal-to-noise ratio based multiple thresholds cooperative spectrum sensing scheme

  • Harbin Institute of Technology
  • School of Information Science and Engineering, Harbin Institute of Technology Weihai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Spectrum sensing is a key technology in Cognitive Radio (CR). It is an important function to be performed by every cognitive radio. Either single or multiple users can take part in spectrum sensing process. This paper presents a multiple thresholds cooperative spectrum sensing algorithm based on signal-to-noise ratio (SNR). In the first phase, the cognitive nodes that satisfy the request of double thresholds apply the cooperative sensing. In the second phase, the nodes that in the doubt-window participate in cooperation according to the SNR threshold, if there is no final decision by the fusion center in first phase. The fusion center combines the detection results by weighting factor which is calculated by the SNR. Simulation results show that the proposed scheme could improve the system performance. And the proposed scheme is more suitable in the environment of medium to low SNRs.

Original languageEnglish
Title of host publicationProceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages908-912
Number of pages5
ISBN (Electronic)9781479958382
DOIs
StatePublished - 2014
Externally publishedYes
Event7th International Conference on BioMedical Engineering and Informatics, BMEI 2014 - Dalian, China
Duration: 14 Oct 201416 Oct 2014

Publication series

NameProceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014

Conference

Conference7th International Conference on BioMedical Engineering and Informatics, BMEI 2014
Country/TerritoryChina
CityDalian
Period14/10/1416/10/14

Keywords

  • Cognitive radio
  • Cooperative sensing
  • Multiple thresholds
  • Signal-to-noise ratio

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