• DocumentCode
    2254013
  • Title

    Block Diagonalization based MMSE vector perturbation precoding for multiuser MIMO down-link transmission

  • Author

    Xiong, Yan ; Lin, Jiaru

  • Author_Institution
    Key Lab. of Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2010
  • fDate
    3-5 Dec. 2010
  • Firstpage
    289
  • Lastpage
    292
  • Abstract
    Commonly Block Diagonalized (BD) is employed to cancel the Multi-User Interference (MUI) of the different users´ in multiuser MIMO broadcast channel. Previous proposed Vector Perturbation (VP) algorithm combined with BD can improve the transmission performance and nearly reaches the multi-user sum capacity. In this paper, by means of seeking better cost function, we propose a new approach which uses the he Minimum Mean Square Error (MMSE) VP algorithm for the actual transmit signal in BD based multiuser MIMO downlink transmission. Numerical simulation shows that the proposed method provides more better bit error rate (BER) than other techniques.
  • Keywords
    MIMO communication; error statistics; least mean squares methods; multiuser channels; radiofrequency interference; vectors; BER; MMSE vector perturbation precoding; MUI; bit error rate; block diagonalization; minimum mean square error VP algorithm; multiuser MIMO broadcast channel; multiuser MIMO down-link transmission; multiuser interference; vector perturbation algorithm; Algorithm design and analysis; Bit error rate; Cost function; Downlink; MIMO; Receiving antennas; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Problem-Solving (ICCP), 2010 International Conference on
  • Conference_Location
    Lijiang
  • Print_ISBN
    978-1-4244-8654-0
  • Type

    conf

  • Filename
    5696061