• DocumentCode
    1995564
  • Title

    Adaptive M-QAM Systems with Diversity in Correlated Nakagami-m Fading and Shadowing

  • Author

    Alexandropoulos, George C. ; Conti, Andrea ; Mathiopoulos, P. Takis

  • Author_Institution
    Dept. of Comput. Eng. & Inf., Univ. of Patras, Rio-Patras, Greece
  • fYear
    2010
  • fDate
    6-10 Dec. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Adaptive M-QAM systems with maximal-ratio diversity (MRD) over composite arbitrarily correlated Nakagami-m fading and log-normal shadowing channels are analyzed. The slow adaptive modulation (SAM) technique is considered which adapts the constellation signaling to slow channel variations and achieves good performance in terms of spectral efficiency (SE) and bit error outage (BEO) despite its low feedback rate. Non-ideal channel estimation (CE) based on pilot symbols is assumed. Analytical expressions and tight bounds for the bit error probability are obtained which are used for deriving analytical expressions and tight bounds for the BEO and achieved SE (ASE). Performance evaluation results have shown that fading correlation and CE errors degrade the performance of SAM systems. The partition of resources for CE and information data requires a careful definition of the ASE and results have shown the tradeoff between CE quality and ASE.
  • Keywords
    Nakagami channels; adaptive modulation; channel estimation; diversity reception; error statistics; quadrature amplitude modulation; Nakagami-m fading channels; SAM systems; adaptive M-QAM systems; bit error outage; bit error probability; channel estimation; constellation signaling; log-normal shadowing channels; maximal ratio diversity; slow adaptive modulation; spectral efficiency; Correlation; Diversity reception; Fading; Lead; Modulation; Shadow mapping; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
  • Conference_Location
    Miami, FL
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-5636-9
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2010.5683848
  • Filename
    5683848