• DocumentCode
    3522161
  • Title

    BER improved transmit power allocation for D-STTD systems with QR-based successive symbol detection

  • Author

    Wu, Jwo-Yuh ; Kuang, Jie-Gang ; Lee, Ta-Sung

  • Author_Institution
    Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    2749
  • Lastpage
    2752
  • Abstract
    We propose a BER improved power allocation scheme for D-STTD systems over i.i.d. Rayleigh fading channels under the QR-based successive detection framework. Instead of relying on BER under a fixed channel realization, the adopted design criterion is the mean BER (assuming there is no inter-layer error propagation) averaged with respect to the channel distribution. Such a design metric has two-fold advantages: (i) It is analytically tractable and is closely related to a block error probability upper bound when inter-layer error propagation occurs, and (ii) There is no need for repeated feedback of the instantaneous channel information. By exploiting a distinctive channel matrix structure unique to D-STTD systems we derive a closed-form approximate upper bound of the considered BER metric; through minimization of this bound an optimal power allocation scheme is obtained. Numerical simulation is used to illustrate the performance of the proposed method.
  • Keywords
    Rayleigh channels; error statistics; signal detection; BER improved transmit power allocation; D-STTD systems; QR-based successive symbol detection; Rayleigh fading channels; block error probability; channel distribution; channel matrix structure; fixed channel realization; inter-layer error propagation; Bit error rate; Detectors; Error analysis; Error probability; Feedback; Power engineering and energy; Receiving antennas; Signal detection; Transmitting antennas; Upper bound; QR decomposition; Space-time block codes; bit error rate; power allocation; successive detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960192
  • Filename
    4960192