• DocumentCode
    2663073
  • Title

    Performance of Signal-to-Noise Ratio Estimator with Adaptive Modulation

  • Author

    Lye, Scott Carr Ken ; Arifianto, Mohammad Sigit ; Yew, Hoe Tung ; Liau, Chung Fan ; Teo, Kenneth Tze Kin

  • Author_Institution
    Modelling, Simulation & Comput. Lab., Univ. Malaysia Sabah, Kota Kinabalu, Malaysia
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    215
  • Lastpage
    219
  • Abstract
    Adaptive modulation techniques in wireless communications are paramount technologies designed to thrive in fading and noisy environments. Methods as such require an accurate estimate of the channel condition at the receivers´ end in order for the transmitter to adapt appropriately. With that in mind, a communication link which changes the degree of modulation scheme according to the estimated signal-to-noise ratio (SNR) values is proposed. Hence, the objective of the system is to achieve acceptable quality in a changing communication link. In this paper, spectral efficiency and average bit error rate of the overall system is measured. Monte Carlo simulations of different signals and channel conditions corroborate our analysis and discussion.
  • Keywords
    Monte Carlo methods; adaptive modulation; error statistics; fading channels; radio receivers; radio transmitters; Monte Carlo simulations; SNR values; adaptive modulation techniques; average bit error rate; channel condition; channel conditions; fading environments; noisy environments; receivers; signal-to-noise ratio estimator performance; spectral efficiency; transmitter; wireless communications; Adaptation models; Bit error rate; Estimation; Modulation; Signal to noise ratio; Transmitters; Wireless communication; Adaptive modulation and coding; BER; Communication systems; SNR estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling Symposium (AMS), 2012 Sixth Asia
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4673-1957-7
  • Type

    conf

  • DOI
    10.1109/AMS.2012.40
  • Filename
    6243896