• DocumentCode
    3248699
  • Title

    Training symbol placement for packet transmissions under asynchronous interference

  • Author

    Budianu, Cristian ; Tong, Lang

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
  • fYear
    2003
  • fDate
    15-18 June 2003
  • Firstpage
    339
  • Lastpage
    343
  • Abstract
    In a multiple access communication system that uses packet transmissions, the packets of one user might be subject to asynchronous interference from the packets of other users in the system. This paper analyses the influence of the placement of training symbols on the performance of the channel estimator in this scenario. The analysis of the mean square error (MSE) of the minimum mean square error estimator (MMSE) is shown to be equivalent to the analysis of the Fisher information matrix (FIM) for mixtures of Gaussian distributions. A complete solution to this problem is hard to find, but the bounds, asymptotics and simulations suggest that the best placement of training symbols is in two clusters of equal or quasi-equal size at the two ends of the data packet.
  • Keywords
    Gaussian distribution; channel estimation; data communication; interference suppression; least mean squares methods; mobile radio; multi-access systems; packet radio networks; Fisher information matrix; MMSE; MSE; asynchronous interference; channel estimator; data packet; minimum mean square error estimator; mixtures of Gaussian distributions; multiple access communication system; packet transmissions; performance; training symbol placement; Decoding; Frequency; Information analysis; Interference; Mean square error methods; Media Access Protocol; Performance analysis; Throughput; Time-varying channels; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications, 2003. SPAWC 2003. 4th IEEE Workshop on
  • Print_ISBN
    0-7803-7858-X
  • Type

    conf

  • DOI
    10.1109/SPAWC.2003.1318978
  • Filename
    1318978