• DocumentCode
    125957
  • Title

    Adaptive stream mapping in MIMO-OFDM with linear precoding

  • Author

    Lei Wang ; Zhongping Zhang

  • Author_Institution
    Technol. Dept., China Unicom, Beijing, China
  • fYear
    2014
  • fDate
    16-23 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Linear precoding techniques are widely used in emerging MIMO-OFDM standards such as 3GPP LTE and WiMAX. These involve mapping a variable number of streams of transmit data symbols to the transmit antennas using precoding matrices selected from a pre-defined set on the basis of channel state information (CSI) fed back from the receiver. Previous work on these schemes and on selection of precoding matrices has assumed that linear detectors are used, but these cannot exploit the full receive-end diversity when multiple streams are transmitted. This paper presents an adaptive precoding scheme using maximum likelihood (ML) detection with a precoder selection scheme based on minimum BER. It shows that full diversity can be achieved, and that a significant gain is available over adaptive linear precoding using linear detection, over antenna selection, and over spatial multiplexing.
  • Keywords
    3G mobile communication; Long Term Evolution; MIMO communication; OFDM modulation; WiMax; error statistics; maximum likelihood detection; precoding; radio receivers; space division multiplexing; transmitting antennas; 3GPP LTE; BER; CSI; MIMO-OFDM standards; WiMAX; adaptive linear precoding; adaptive precoding; adaptive stream mapping; antenna selection; channel state information; data symbols; linear detection; linear detectors; maximum likelihood detection; multiple streams; precoding matrices; radio receiver; receive-end diversity; spatial multiplexing; transmit antennas; Bit error rate; OFDM; Receivers; Transmitting antennas; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/URSIGASS.2014.6929322
  • Filename
    6929322