• DocumentCode
    1756729
  • Title

    Comments on “Soft Decision Metric Generation for QAM With Channel Estimation Error”

  • Author

    Jalloul, Louay M. A. ; Alex, Sam P. ; Mansour, Mohamed M.

  • Author_Institution
    Broadcom, Sunnyvale, CA, USA
  • Volume
    62
  • Issue
    11
  • fYear
    2014
  • fDate
    Nov. 2014
  • Firstpage
    4162
  • Lastpage
    4163
  • Abstract
    A log-max generalized bit log-likelihood ratio (GLLR) was derived in an earlier work of Wang et al. for soft decision decoding of quadrature amplitude modulation that takes into account channel estimation error. The results in the above paper show that the GLLR metric outperforms the conventional LLR metric that does not account for channel estimation error. In trying to reproduce the results of the above paper, our simulations indicate that their results were obtained without proper scaling of the transmit constellation. Conversely, through simulations, we demonstrate that by properly scaling the constellation to have unity average energy, the GLLR metric does not result in a noticeable advantage in the bit error rate over the conventional LLR metric for practically meaningful values of the channel estimation error.
  • Keywords
    channel estimation; decoding; error statistics; log normal distribution; quadrature amplitude modulation; GLLR metric; QAM; bit error rate; channel estimation error; log-max generalized bit log-likelihood ratio; quadrature amplitude modulation; soft decision decoding; soft decision metric generation; unity average energy; Bit error rate; Channel estimation; Gain; Measurement; Quadrature amplitude modulation; Signal to noise ratio; Thermal noise; Generalized log likelihood; QAM; soft decision metric;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2014.2360911
  • Filename
    6913539