• DocumentCode
    3491203
  • Title

    Capacity of Training-Based V-BLAST System with LMMSE Receiver in Continuously Fading Channels

  • Author

    Li, Qiang ; Li, Yunzhou ; Zhou, Shidong ; Yao, Yan

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    1188
  • Lastpage
    1191
  • Abstract
    A closed-form solution for the information- theoretical capacity of vertical bell-laboratories-layered-space-time (V-BLAST) system over continuously flat-fading MIMO channels with training-based channel estimation and linear minimum-mean-square-error (LMMSE) receiver is derived. Since large system analysis via the distribution law of random matrix is used in the analysis, our analysis and results are asymptotic in nature. Simulation results show that the analytical capacity expression is still valid for limited-scale V-BLAST system. Furthermore the optimal training length that maximize the capacity is found numerically as functions of the Doppler frequency and signal-to-noise ratio (SNR).
  • Keywords
    Doppler effect; MIMO communication; channel capacity; channel coding; channel estimation; fading channels; least mean squares methods; matrix algebra; random processes; space-time codes; Doppler frequency; LMMSE; channel estimation; continuously flat-fading MIMO channel; information- theoretical capacity; linear minimum-mean-square-error; random matrix distribution law; training-based V-BLAST system; vertical bell-laboratories-layered-space-time; Channel capacity; Channel estimation; Closed-form solution; Fading; Frequency; MIMO; Phase estimation; Random variables; Receiving antennas; Signal to noise ratio;
  • 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.2007.303
  • Filename
    4340078