• DocumentCode
    1950200
  • Title

    RCPC-Encoded V-BLAST MIMO with MMSE-Based Detection

  • Author

    Sari, Lydia ; Wibisono, Gunawan ; Gunawan, Dadang

  • Author_Institution
    Electr. Eng. Dept., Univ. of Indonesia, Depok, Indonesia
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    73
  • Lastpage
    77
  • Abstract
    A Rate-Compatible Punctured Convolutional (RCPC)-encoded Vertical Bell Laboratories Layered Space-Time (V-BLAST) MIMO system to provide a robust wireless communication link is proposed. The V-BLAST detection is based on Minimum Mean-Squared Error (MMSE) criterion, to alleviate the noise enhancement commonly found in the original V-BLAST scheme based on Zero Forcing criterion. Different code rates and transmit powers are allocated to data streams emitted from the multiple transmit antennas, according to the attenuation levels of the subchannels. This scheme is efficient in terms of transmit power and bandwidth usage, as the data stream entering a destructive subchannel is given low transmit power and high code rate. Simulations show that the proposed system can attain good performance at a reasonably low Eb/No.
  • Keywords
    MIMO communication; convolutional codes; least mean squares methods; radio links; MMSE-based detection; RCPC-encoded V-BLAST MIMO; Vertical Bell Laboratories layered space- time; code rates; data streams; minimum mean-squared error criterion; multiple transmit antennas; rate-compatible punctured convolutional; wireless communication link; zero forcing criterion; Attenuation; Bandwidth; Communication system software; Convolutional codes; MIMO; Noise robustness; Scattering; Transmitters; Transmitting antennas; Wireless communication; MIMO; MMSE; RCPC; V-BLAST; singular value decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks, 2010. ICCSN '10. Second International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5726-7
  • Electronic_ISBN
    978-1-4244-5727-4
  • Type

    conf

  • DOI
    10.1109/ICCSN.2010.21
  • Filename
    5437631