• DocumentCode
    3063948
  • Title

    X- and Y-Codes for MIMO precoding

  • Author

    Mohammed, Saif Khan ; Viterbo, Emanuele ; Hong, Yi ; Chockalingam, Ananthanarayanan

  • Author_Institution
    Indian Inst. of Sci., Bangalore, India
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    2143
  • Lastpage
    2147
  • Abstract
    We consider a time division duplex (TDD) nt × nr multiple-input multiple-output (MIMO) system with known channel state information (CSI) at both transmitter and receiver. Using singular value decomposition (SVD) precoding at the transmitter, the MIMO channels are transformed into parallel subchannels. To improve the low diversity order, we propose X- and Y-Codes, prior to SVD precoding, to pair subchannels having different diversity orders. Specifically, a pair of channels is jointly encoded using a 2 × 2 real matrix, which is fixed a priori and does not change with each channel realization. Moreover, we propose X-, Y-Precoders with the same encoding matrices as X-, Y-Codes, which adapt to each channel realization. The optimal encoding matrices for X- and Y-Codes/Precoders are derived analytically to minimize the average error probability. Finally, we see that X-, Y-Codes/Precoders indeed achieve higher diversity gains at very low encoding/decoding complexity for both well- and ill-conditioned channels, respectively, when compared to other precoding schemes in the literature. We also observe that for the Rayleigh fading channel model X- and Y-Codes/Precoders exhibit the best average error performance.
  • Keywords
    MIMO communication; precoding; radio receivers; radio transmitters; MIMO precoding; X-codes; Y-codes; average error probability; channel state information; multiple-input multiple-output system; receiver; singular value decomposition; time division duplex; transmitter; Channel state information; Degradation; Diversity methods; Error probability; Fading; MIMO; Maximum likelihood decoding; Singular value decomposition; Transmitters; Transmitting antennas; SVD; TDD MIMO; diversity; precoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513455
  • Filename
    5513455