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      • Department of Electrical and Electronics Engineering
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      An experimental setup for performance analysis of an online adaptive cooperative spectrum sensing scheme for both in-phase and quadrature branches

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      Author(s)
      Yarkan, S.
      Qaraqe, K.A.
      Töreyin, B.U.
      Çetin, A. Enis
      Date
      2011
      Source Title
      2011 IEEE Vehicular Technology Conference (VTC Fall)
      Publisher
      IEEE
      Language
      English
      Type
      Conference Paper
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      Abstract
      Spectrum sensing is one of the most essential characteristics of cognitive radios (CRs). Robustness and adaptation to varying wireless propagation scenarios without compromising the sensing accuracy are desirable features of any spectrum sensing method to be deployed in CR systems. In this study, an online adaptive cooperation technique for spectrum sensing is proposed in order to maintain the level of reliability and performance. Cooperation is achieved by sensors which employ energy detection. These sensors send their output to a center where data fusion operation is carried out in an online and adaptive manner. Adaptation is realized by the use of orthogonal projections onto convex sets (POCS). In conjunction with the proposed method, an end-to-end methodology for a flexible experimental setup is also proposed in this study. This setup is arranged to emulate the proposed adaptive cooperation scheme for spectrum sensing and validate its practical use in cognitive radio systems. Comparative performance results for both inphase and quadrature branches are presented. © 2011 IEEE.
      Keywords
      Adaptive data fusion
      Cognitive radio
      Experimental setup
      Online learning
      Projection onto convex sets
      Wireless propagation
      Cognitive systems
      Data fusion
      Radio
      Sensors
      Set theory
      Radio systems
      Permalink
      http://hdl.handle.net/11693/28249
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/VETECF.2011.6093198
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      • Department of Electrical and Electronics Engineering 3702
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