• DocumentCode
    2375258
  • Title

    Uniform approximations for wireless performance in fading, noise and interference

  • Author

    Tellambura, C. ; Dhungana, Y. ; Soysa, M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    2410
  • Lastpage
    2415
  • Abstract
    We derive simple uniform approximations (UAs) for the bit error rate (BER), the symbol error rate (SER), and the outage of wireless digital communication systems impaired by fading, noise, and interference. The striking feature of the UAs is their accuracy over the whole range of signal-to-noise ratio (SNR) values, whereas the existing high-SNR approximations break down as the SNR decreases. The UAs require slightly more information than that for high-SNR expressions. The additional information required in the case of error probabilities is the several moments (fractional) of channel gain, which can be extracted readily from the PDF, MGF or the Mellin transform of the PDF. The computation of the UA is simple and requires only the solution of a set of linear equations. Additionally, we also generalize the previous asymptotic results of Wang and Giannakis. The unified asymptotic results of the average of an arbitrary performance measure are thus derived. Various BER and SER expressions then become special cases of this unified approach.
  • Keywords
    approximation theory; digital communication; error statistics; fading; radio networks; radiofrequency interference; BER; MGF; Mellin transform; PDF; SER expressions; bit error rate; channel gain; error probability; fading; high-SNR approximations; interference; linear equations; signal-to-noise ratio; simple uniform approximations; symbol error rate; wireless digital communication systems; wireless performance; Approximation methods; Bit error rate; Diversity reception; Fading; Signal to noise ratio; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6364259
  • Filename
    6364259