National Tsing Hua University Institutional Repository:A credibility-based cooperative spectrum sensing technique for cognitive radio systems
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 54367/62174 (87%)
Visitors : 14792224      Online Users : 71
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTHU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    NTHUR > College of Electrical Engineering and Computer Science > Department of Electrical Engineering > EE Conference Papers >  A credibility-based cooperative spectrum sensing technique for cognitive radio systems

    Please use this identifier to cite or link to this item:

    Title: A credibility-based cooperative spectrum sensing technique for cognitive radio systems
    Authors: Chin-Liang Wang;Han-Wei Chen;Yu-Ren Chou
    Teacher: 王晉良
    Date: 2011
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: Proceedings of the 2011 IEEE Vehicular Technology Conference - Spring (VTC 2011-Spring), Budapest, Hungary, MAY 15-18, 2011, Pages 1 - 5
    Keywords: cooperative spectrum sensing technique
    cognitive radio systems
    Abstract: Spectrum sensing is one of the major elements of cognitive radio applications. A single secondary user (SU) usually cannot provide robust sensing capability due to channel effects. In order to overcome this problem, cooperative spectrum sensing techniques have been proposed. Because conventional cooperative spectrum sensing schemes assumed that all sensing nodes have the same sensing reliability, the SUs were assigned identical false-alarm probability even though some of them suffer deep fading, which may degrade their detection performance. In this study, we propose an adaptive credibility-based cooperative spectrum sensing technique, which evaluates the sensing reliability of SUs based on previous sensing performance, and adjusts the probability of false alarm of each SU individually. Assigning a higher false alarm probability for a more reliable SU can result in better detection performance. To verify the effectiveness of the proposed cooperative spectrum sensing technique, both the false alarm probability and the detection probability are simulated under Rayleigh fading channels, and the results show that the proposed approach outperforms any conventional detection method in terms of detection performance.
    Relation Link:
    Appears in Collections:[Department of Electrical Engineering] EE Conference Papers
    [Institute of Communications Engineering] COM Conference Papers
    [Computer and Communication Research Center ] CCRC Conference Papers

    Files in This Item:

    File Description SizeFormat


    SFX Query


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback