• DocumentCode
    650810
  • Title

    SINR prediction based on MU-MIMO in large scale antenna array system

  • Author

    Zhaohua Lu ; Dengkui Zhu ; Xiaodan Zhang ; Xianming Chen

  • Author_Institution
    ZTE Corp., Shenzhen, China
  • fYear
    2013
  • fDate
    24-26 Oct. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Wireless data rates are prodicted to increase 1000 fold by 2020 and likely go up to 10,000 times by 2025. To meet the explosive growth in traffic during the next fifteen years, significant improvement in spectral efficiency is required. One of the promising innovative technologies to meet the above requirements is the massive MIMO technology adopting in large-scale antenna array system. The MIMO channel formed by the massive MIMO technology is likely to be very asymmetric and the number of possible independent data streams for transmission is limited by the number of antennas at the mobile station. Thus MU-MIMO (multi-user MIMO), which offer spatial multiplexing gain without the requirement of multiple antenna arrays at the mobile station, is very worthy of study in large scale antenna array system. In this paper, we give a formula of SINR prediction based on MU-MIMO in large scale antenna array system. Using the formula, a base station could easily predict the capacity loss because of non-deal Channel State Information (CSI), and then choose MIMO mode(e.g. adaptive switching between Single User-MIMO and MU-MIMO) or the best paired users properly in MU-MIMO system. Simulation results show the rationality of the formula.
  • Keywords
    MIMO communication; antenna arrays; space division multiplexing; telecommunication traffic; CSI; MU-MIMO; SINR; base station; capacity loss; channel state information; large scale antenna array system; mobile station; spatial multiplexing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications & Signal Processing (WCSP), 2013 International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/WCSP.2013.6677060
  • Filename
    6677060