• DocumentCode
    1757138
  • Title

    Comments on “A Representation for the Symbol Error Rate Using Completely Monotone Functions”

  • Author

    Dulek, Berkan

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
  • Volume
    60
  • Issue
    2
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    1367
  • Lastpage
    1370
  • Abstract
    It was shown in the above-titled paper by Rajan and Tepedelenlioglu (see ibid., vol. 59, no. 6, p. 3922-31, June 2013) that the symbol error rate (SER) of an arbitrary multidimensional constellation subject to additive white Gaussian noise is characterized as the product of a completely monotone function with a nonnegative power of signal-to-noise ratio (SNR) under minimum distance detection. In this comment, it is proved that the probability of correct decision of an arbitrary constellation admits a similar representation as well. Based on this fact, it is shown that the stochastic ordering { ≤ , α ≥ 0} proposed by the authors as an extension of the existing Laplace transform order to compare the average SERs over two different fading channels actually predicts that the average SERs are equal for any constellation of dimensionality smaller than or equal to 2α. Furthermore, it is noted that there are no positive random variables X1 and X2 such that the proposed stochastic ordering is satisfied in the strict sense, i.e., X1 <; X2 when α = N/2 for any positive integer N. Additional remarks are noted about the fading scenarios at low SNR and the generalization to additive compound Gaussian noise originally discussed in the subject paper.
  • Keywords
    AWGN; Laplace transforms; error statistics; fading channels; Laplace transform; SER; SNR; additive compound Gaussian noise; additive white Gaussian noise; arbitrary multidimensional constellation; correct decision; distance detection; fading channels; monotone functions; signal-to-noise ratio; stochastic ordering; symbol error rate; Compounds; Detectors; Error analysis; Fading; Gaussian noise; Signal to noise ratio; Stochastic processes; Canonical representation; Gaussian noise; completely monotone; stochastic ordering; symbol error rate (SER);
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2013.2290712
  • Filename
    6662523