• DocumentCode
    162947
  • Title

    An efficient hybrid double-threshold based energy detection for cooperative spectrum sensing

  • Author

    Quoc-Tuan Vien ; Nguyen, Huan X. ; Tho Le-Ngoc

  • Author_Institution
    Sch. of Sci. & Technol., Middlesex Univ., London, UK
  • fYear
    2014
  • fDate
    1-4 June 2014
  • Firstpage
    42
  • Lastpage
    46
  • Abstract
    This paper considers cooperative spectrum sensing (CSS) in cognitive radio networks. The decision on spectrum availability for secondary users (SUs) is carried out with the assistance of a fusion center (FC). In this paper, we propose a new hybrid double-threshold based energy detection (HDTED) to improve the spectrum sensing performance by exploiting both local decision at the SUs and global decision at the FC. In the proposed HDTED, to make a final decision on the availability of licensed spectrum, each SU performs a hybrid combination of both local and global decisions. Particularly, taking into account a practical scenario where all sensing, reporting, and backward channels suffer from Rayleigh fading, we derive the missed detection probability and false alarm probability to show that the proposed HDTED scheme achieves a better CSS performance than the conventional schemes. Finally, simulation results are provided to verify the analytical findings.
  • Keywords
    Rayleigh channels; cognitive radio; cooperative communication; radio spectrum management; Rayleigh fading; cognitive radio networks; cooperative spectrum sensing; false alarm probability; fusion center; hybrid double threshold based energy detection; licensed spectrum; missed detection probability; secondary users; spectrum availability; Cascading style sheets; Cognitive radio; Fading; Level measurement; Sensors; Silicon; Terrain mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (QBSC), 2014 27th Biennial Symposium on
  • Conference_Location
    Kingston, ON
  • Type

    conf

  • DOI
    10.1109/QBSC.2014.6841181
  • Filename
    6841181