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      Adaptive decision fusion based cooperative spectrum sensing for cognitive radio systems

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      Author
      Töreyin, B. U.
      Yarkan, S.
      Qaraqe, K. A.
      Çetin, A. Enis
      Date
      2011
      Source Title
      Proceedings of the 19th Signal Processing and Communications Applications Conference, SIU 2011
      Publisher
      IEEE
      Pages
      1173 - 1176
      Language
      Turkish
      Type
      Conference Paper
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      Abstract
      In this paper, an online Adaptive Decision Fusion (ADF) framework is proposed for the central spectrum awareness engine of a spectrum sensor network in Cognitive Radio (CR) systems. Online learning approaches are powerful tools for problems where drifts in concepts take place. Cooperative spectrum sensing in cognitive radio networks is such a problem where channel characteristics and utilization patterns change frequently. The importance of this problem stems from the requirement that secondary users must adjust their frequency utilization strategies in such a way that the communication performance of the primary users would not be degraded by any means. In the proposed framework, sensing values from several sensor nodes are fused together by weighted linear combination at the central spectrum awareness engine. The weights are updated on-line according to an active fusion method based on performing orthogonal projections onto convex sets describing power reading values from each sensor. The proposed adaptive fusion strategy for cooperative spectrum sensing can operate independent from the channel type between the primary user and secondary users. Results of simulations and experiments for the proposed method conducted in laboratory are also presented. © 2011 IEEE.
      Keywords
      Active fusion
      Adaptive fusion
      Channel characteristics
      Cognitive radio
      Cognitive radio network
      Communication performance
      Cooperative spectrum sensing
      Decision fusion
      Frequency utilization
      Linear combinations
      Online learning
      Orthogonal projection
      Cognitive systems
      Online systems
      Radio systems
      Sensor networks
      Sensor nodes
      Sensors
      Set theory
      Signal processing
      Telecommunication equipment
      Radio
      Permalink
      http://hdl.handle.net/11693/28393
      Published Version (Please cite this version)
      https://doi.org/10.1109/SIU.2011.5929865
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      • Department of Electrical and Electronics Engineering 3524
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