• DocumentCode
    3282474
  • Title

    Trellis Precoding for the Multi-User Environment

  • Author

    Callard, Aaron ; Khandani, Amir ; Saleh, Aladdin

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont.
  • fYear
    2006
  • fDate
    22-24 March 2006
  • Firstpage
    414
  • Lastpage
    419
  • Abstract
    When transmitting over the multi-user MIMO broadcast channel, the transmitter has both knowledge of, and control over, the interference between users. Methods based on interference cancellation focus only on the transmitter´s knowledge of the interference. This paper proposes a method which takes advantage of the transmitter´s control over the interference among users. This is done by considering all users simultaneously. First, redundancy is introduced into the transmitted data similarly to the trellis shaping method, then the mean square error (MSE) is minimized by exploiting this redundancy. The proposed method is unique in that it considers all users simultaneously, and that the MSE is minimized rather than the transmit power. This method can achieve a BER of 10-5, only 1 dB above the minimum signal to noise ratio predicted by the capacity of the channel. Depending on the channel parameters, this demonstrates a 1-3 dB improvement over the best reported results. The improvement in the performance is achieved at the price of an increase in the complexity (equivalent to the Viterbi decoding of a trellis with 22N states for N transmit antennas).
  • Keywords
    MIMO communication; broadcast channels; channel capacity; error statistics; interference suppression; mean square error methods; multiuser channels; radiofrequency interference; trellis codes; BER; MIMO; MSE; bit error rate; broadcast channel; channel capacity; interference cancellation; mean square error; multiple input multiple output; multiuser environment; transmitter control; transmitter knowledge; trellis precoding; Bit error rate; Broadcasting; Channel capacity; Interference cancellation; MIMO; Mean square error methods; Redundancy; Signal to noise ratio; Transmitters; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems, 2006 40th Annual Conference on
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    1-4244-0349-9
  • Electronic_ISBN
    1-4244-0350-2
  • Type

    conf

  • DOI
    10.1109/CISS.2006.286503
  • Filename
    4067844