• DocumentCode
    1766254
  • Title

    A Simple Performance Approximation of General-Order Rectangular QAM With MRC in Nakagami- m Fading Channels

  • Author

    Won Mee Jang

  • Author_Institution
    Dept. of Comput. & Electron. Eng., Univ. of Nebraska-Lincoln, Omaha, NE, USA
  • Volume
    62
  • Issue
    7
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    3457
  • Lastpage
    3463
  • Abstract
    The sampling property of the delta impulse function is applied to various Q-function approximations to obtain the probability of error in Nakagami- m fading channels. It is shown that the sampling bit error probability (BEP) exhibits reliable behavior, regardless of the Q-function approximation form. The result is extended to general-order rectangular quadrature amplitude modulation (QAM) with maximal-ratio combining (MRC) to quantify the average symbol error probability (SEP). The proposed approximation presents the SEP in a simple closed form and eliminates the hypergeometric function in the solution. The proposed sampling SEP is accurate and applicable for an arbitrary real-valued fading parameter.
  • Keywords
    Nakagami channels; diversity reception; error statistics; quadrature amplitude modulation; MRC; Nakagami-m fading channels; Q-function approximation; arbitrary real-valued fading parameter; average SEP; average symbol error probability; delta impulse function; general-order rectangular QAM; general-order rectangular quadrature amplitude modulation; maximal-ratio combining; sampling BEP; sampling bit error probability; sampling property; Binary phase shift keying; Function approximation; Quadrature amplitude modulation; Rayleigh channels; Signal to noise ratio; $Q$-function approximation; Maximal-ratio combining (MRC); Nakagami-$m$ ; rectangular quadrature amplitude modulation (QAM); sampling property;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2013.2253813
  • Filename
    6484196