• DocumentCode
    1174714
  • Title

    Optimal placement of known symbols for slowly varying frequency-selective channels

  • Author

    Adireddy, Srihari ; Tong, Lang

  • Author_Institution
    Silicon Labs. Inc., Austin, TX, USA
  • Volume
    4
  • Issue
    4
  • fYear
    2005
  • fDate
    7/1/2005 12:00:00 AM
  • Firstpage
    1292
  • Lastpage
    1296
  • Abstract
    The problem of placing known symbols in a data stream for a slowly varying frequency-selective channel is considered from an information-theoretic perspective. Given the amount of redundancy associated with known symbols, placement schemes that minimize the outage probability are derived by assuming that the transmitted codewords consist of packets that are constrained to have the same known symbol placement. Under the assumption that each known symbol cluster is at least as large as α ≥ 2L + 1 (where L is the channel order), we show that the optimal placement is obtained by arranging the known symbols into as many clusters as possible and placing them such that the unknown symbol blocks are as equal as possible. It is shown that the optimal placement of known symbol clusters does not depend on the probability density of the channel. Numerical examples are used to illustrate the ideas and potential gains of using optimal known symbol placement.
  • Keywords
    channel coding; information theory; probability; channel probability density; codeword; compound channel; data stream; error exponent; information theory; known symbol placement scheme; outage probability; slowly varying frequency-selective channel; Coherence; Decoding; Delay; Design optimization; Frequency; Information analysis; Information theory; Performance analysis; Redundancy; Wireless communication; Compound channels; error exponents; known symbols; outage probability; placement schemes;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2005.852143
  • Filename
    1512080