• DocumentCode
    148652
  • Title

    Distributed recursive energy detection

  • Author

    Ainomae, Ahti ; Trump, Tonu ; Bengtsson, Martin

  • Author_Institution
    Dept. of Radio & Telecommun. Eng., Tallinn Univ. of Technol., Tallinn, Estonia
  • fYear
    2014
  • fDate
    6-9 April 2014
  • Firstpage
    1242
  • Lastpage
    1247
  • Abstract
    Recent studies have shown that, while the available licensed radio spectrum becomes more occupied, the assigned spectrum is significantly underutilized. To alleviate the situation, cognitive radio (CR) technology has been proposed to provide an opportunistic access to the licensed spectrum areas. CR systems are able to serve the secondary users for detecting and utilizing so called spectrum holes by sensing and adapting to the environment without causing harmful effects or interference to the licensed primary users (PU). CR systems need to detect the presence of a primary user by continuously sensing the spectrum area of interest. Radiowave propagation effects like fading and shadowing often complicate sensing of spectrum holes because the PU signal can be weak in a particular area. Cooperative spectrum sensing is seen as a prospective solution to enhance the detection of PU signals. This paper studies distributed spectrum sensing in a cognitive radio context. We investigate a distributed energy detection scheme without using any fusion center. Due to reduced communication such a topology is more energy efficient. The PU signal is assumed to be in slow fading. A recursive distributed power estimation and detection scheme is proposed. The theoretical findings are verified through simulations.
  • Keywords
    cognitive radio; cooperative communication; radio spectrum management; signal detection; telecommunication network topology; cognitive radio; cooperative spectrum sensing; distributed recursive energy detection; fusion center; primary users; radio spectrum; radiowave propagation; secondary users; spectrum holes; Central Processing Unit; Detectors; Estimation; Fading; Noise; Topology; Cognitive radio; adaptive networks; distributed detection; distributed estimation; energy detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2014 IEEE
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/WCNC.2014.6952327
  • Filename
    6952327