• DocumentCode
    3486887
  • Title

    On the Capacity of Linear Precoder and Decoder in Semi-Correlated MIMO System

  • Author

    He, Zhiqiang ; Li, Yonghua ; Niu, Kai ; Lin, Jiaru ; Wu, Weiling

  • Author_Institution
    Key Lab. of Inf. Process. & Intell. Technol., Beijing Univ. of Posts & Telecommun., Beijing
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    149
  • Lastpage
    152
  • Abstract
    MIMO system has been proven to provide more capacity than conventional SISO system, which is linear increase with the number of minimum transmit and receive antennas. But it is true only in independent conditions, when the spatial fading correlation exists, the capacity may be different. Linear precoder and decoder enable optimal allocation of power and bits over the spatial and temporal domain, depend on the channel conditions. Based on the two criterions, Maximum information rate and Minimum Mean Square Error, the optimal MIMO capacity is deduced and shown that the optimum linear precoder and decoder diagonalize the MIMO channel into eigen subchannels. Effect of the correlation on the capacity of both MIMO and linear precoder is also analyzed. Simulation shows that the linear precoder is more robust than that of MIMO system with no preceding.
  • Keywords
    MIMO communication; antenna arrays; decoding; encoding; fading channels; least mean squares methods; MIMO channel; SISO system; eigen subchannels; linear decoder; linear precoder; maximum information rate; minimum mean square error; receive antennas; semi-correlated MIMO system; spatial fading correlation; transmit antennas; Colored noise; Decoding; Degradation; Fading; Frequency; MIMO; Receiving antennas; Scattering; System performance; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1311-9
  • Type

    conf

  • DOI
    10.1109/WICOM.2007.44
  • Filename
    4339819