• DocumentCode
    2149357
  • Title

    Analysis of Square-Law Combining for Cognitive Radios over Nakagami Channels

  • Author

    Liu, Yunxue ; Yuan, Dongfeng ; Jiang, Mingyan ; Fan, Wenqiang ; Jin, Gang ; Li, Fen

  • Author_Institution
    Sch. of Sci. & Technol. for Opto-Electron. Inf., Yantai Univ., Yantai, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper addresses the problem of energy detection of a primary signal in a cognitive radio environment over Nakagami channels. As an extension to the previous works, we start with the no diversity case, and present some alternative closed-form expressions of detection probability under Nakagami channels. Then we pay much attention to studying the square-law combining technology when wireless users experience Nakagami fading (the outputs of all square-law devices are added to yield a new decision statistic), and derive closed-form expressions of detection probability when Nakagami parameters are integral. Interestingly, it is noted that, for a diversity scheme of SLC with L diversity branches, the detection probability in a Nakagami channel with integral Nakagami parameter m is equivalent to that in a Rayleigh channel with mL diversity branches. Finally, performance evaluation is exhibited for different numbers of diversity branches and different values of Nakagami parameters.
  • Keywords
    Nakagami channels; Rayleigh channels; cognitive radio; diversity reception; probability; L diversity branch; Nakagami fading channel; Rayleigh channel; SLC technology; closed-form expression; cognitive radio; energy detection problem; integral Nakagami parameter; probability detection; square-law combining; AWGN; Closed-form solution; Cognitive radio; Detectors; Diversity reception; Fading; Gaussian noise; Probability; Rayleigh channels; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3692-7
  • Electronic_ISBN
    978-1-4244-3693-4
  • Type

    conf

  • DOI
    10.1109/WICOM.2009.5303872
  • Filename
    5303872