• DocumentCode
    2507924
  • Title

    Efficient decision rule for spectrum sensing performance improvement in cognitive radio

  • Author

    Lee, So Young ; Kim, Eun Cheol ; Park, Seho ; Jung, Hoi Yoon ; Song, Myung Sun ; Kim, Chang-Joo ; Kim, Jin Young

  • Author_Institution
    Dept. of Wireless Commun. Eng., Kwangwoon Univ., Seoul, South Korea
  • fYear
    2009
  • fDate
    28-30 Sept. 2009
  • Firstpage
    97
  • Lastpage
    101
  • Abstract
    According to dramatic increase of wireless communication demand, more spectrum resources are needed to support considerable and various wireless services. However, limited spectrum resources are regulatory assigned to licensed user and no interference needs to occur from unlicensed user to licensed user. In this paper, we propose efficient decision rule in order to get better chance to detect the unused spectrum assigned licensed user and improve reliability of spectrum sensing performance. Each secondary user receives the signal from licensed user and input to and energy detector. Then, each sensing results are combined and used to make a decision whether primary user is presence or not. In order to make the reliable decision, we apply to efficient decision rule that is named the Majority rule in this paper. The simulation results show that sensing performance proposed decision rule is more reasonable and efficient than conventional decision rules.
  • Keywords
    cognitive radio; decision theory; frequency allocation; signal detection; cognitive radio; decision rule; energy detector; spectrum resource; spectrum sensing performance reliability; unlicensed user; unused spectrum assignment detection; wireless communication; Chromium; Cognitive radio; Detectors; FCC; Frequency; Interference; Shadow mapping; Sun; Wireless communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technology, 2009. ISCIT 2009. 9th International Symposium on
  • Conference_Location
    Icheon
  • Print_ISBN
    978-1-4244-4521-9
  • Electronic_ISBN
    978-1-4244-4522-6
  • Type

    conf

  • DOI
    10.1109/ISCIT.2009.5341280
  • Filename
    5341280