• DocumentCode
    8175
  • Title

    Capacity analysis of Rayleigh fading channels in low signal-to-noise ratio regime for maximal ratio combining diversity because of combining errors

  • Author

    Janarthanan, S. ; Bhaskar, Vidhyacharan

  • Author_Institution
    Dept. of Electron. & Commun. Eng., SRM Univ., Chennai, India
  • Volume
    7
  • Issue
    8
  • fYear
    2013
  • fDate
    May 21 2013
  • Firstpage
    745
  • Lastpage
    754
  • Abstract
    In this research work, the authors derive closed-form expressions for capacity per unit bandwidth (spectrum efficiency) of correlated Rayleigh fading channels under maximal ratio combining diversity at low signal-to-noise ratios (SNRs). Spectrum efficiency expressions are derived for M diversity branches under adaptation policies, such as: (i) optimal power and rate adaptation (OPRA) policy, (ii) optimal rate adaptation (ORA) policy and (iii) truncated channel inversion with fixed rate (TIFR) policy. Even at low SNRs, if space diversity is exercised using a single-input multiple-output system, spectrum efficiency achieved is higher compared with that achieved when signals are uncorrelated and have no diversity. This forms the focal point of this study. Analytical results show accurately that OPRA policy provides highest capacity over other adaptation policies. The spectrum efficiency for the three policies and outage probability for the low SNR case are derived, plotted and analysed in detail in this work.
  • Keywords
    MIMO communication; Rayleigh channels; channel capacity; correlation theory; diversity reception; probability; spectral analysis; OPRA policy; ORA policy; Rayleigh fading channel capacity analysis; TIFR policy; correlation theory; maximal ratio combining diversity; optimal power and rate adaptation; optimal rate adaptation; outage probability; signal to noise ratio regime; single input multiple output system; space diversity; spectrum efficiency; truncated channel inversion with fixed rate;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com.2012.0647
  • Filename
    6545862