• DocumentCode
    240224
  • Title

    Adaptive multidimensional modulation over faded shadowing channels

  • Author

    Hamed, Abdulbaset M. ; Rao, R. Kameswara ; Primak, S.L.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Western Ontario, London, ON, Canada
  • fYear
    2014
  • fDate
    4-7 May 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Adaptive modulation is a very useful technique for enhancing data rate over a fading and shadowing channels. In this paper an adaptive M-ary Quadrature Amplitude Modulation (M-QAM) technique is presented for Nakagami-m-Gamma (NG) channel model. The technique presented provides a guaranteed level of bit error rate (BER) performance while at the same time optimizing the spectrum efficiency. Analytical expressions for probability density and cumulative distribution functions for the NG model are given and closed-form expressions for outage probability and average spectrum efficiency are derived conditioned on target BER. Numerical results show that the adaptive modulation technique presented improves spectrum efficiency over NG channel with acceptable BER performance.
  • Keywords
    Nakagami channels; adaptive modulation; error statistics; quadrature amplitude modulation; radiocommunication; statistical distributions; BER performance; M-QAM technique; M-ary quadrature amplitude modulation technique; NG channel model; Nakagami-m-Gamma channel model; adaptive multidimensional modulation; bit error rate performance; closed-form expression; cumulative distribution function; faded shadowing channel; outage probability density; spectrum efficiency time optimization; Bit error rate; Fading; Manganese; Quadrature amplitude modulation; Shadow mapping; Signal to noise ratio; Nakagami-m-Gamma; adaptive modulation; bit error rate; outage probability; spectrum efficiency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2014 IEEE 27th Canadian Conference on
  • Conference_Location
    Toronto, ON
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4799-3099-9
  • Type

    conf

  • DOI
    10.1109/CCECE.2014.6901086
  • Filename
    6901086