• DocumentCode
    2173615
  • Title

    Effective SNR mapping for link error prediction in OFDM based systems

  • Author

    Sandanalakshmi, R. ; Palanivelu, T.G. ; Manivannan, K.

  • Author_Institution
    Pondicherry Eng. Coll., Pondicherry
  • fYear
    2007
  • fDate
    20-22 Dec. 2007
  • Firstpage
    684
  • Lastpage
    687
  • Abstract
    Multicarrier communication systems with adaptive modulation and coding systems such as OFDM are well suited for high speed and mobility oriented networks like mobile WIMAX that has to support users in different fading and mobility conditions. The channel estimation and link prediction are worked out at different levels. These estimators and predictors are normally examined using complex emulators and simulators. It is very difficult to predict the performance of different links with same SNR. There is a need to design simple link performance predictors. In this paper the BER and Pe are estimated using Effective Exponential SIR Mapping. This method is proved better than conventional methods used for prediction. The results are showed to be within the boundary conditions defined by chernoff union bound. The bound was developed for EESM mapping using mathematical model developed for BPSK under AWGN channel. The results are showed for different modulations order and different channel realizations.
  • Keywords
    AWGN channels; OFDM modulation; adaptive modulation; channel estimation; encoding; error statistics; fading channels; mobile communication; phase shift keying; AWGN channel; BER; BPSK; OFDM based systems; SNR mapping; adaptive modulation; channel estimation; coding systems; exponential SIR mapping; fading conditions; link error prediction; mobility conditions; multicarrier communication systems; BER; MCS; SNR; chernoff bound; ofdm;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Information and Communication Technology in Electrical Sciences (ICTES 2007), 2007. ICTES. IET-UK International Conference on
  • Conference_Location
    Tamil Nadu
  • ISSN
    0537-9989
  • Type

    conf

  • Filename
    4735883