• DocumentCode
    449635
  • Title

    Throughput maximization transmission control scheme using channel prediction for MIMO systems

  • Author

    Takei, Yoshikazu ; Ohtsuki, Tomoaki

  • Author_Institution
    Graduate Sch. of Sci. & Technol., Tokyo Univ. of Sci.
  • Volume
    4
  • fYear
    2005
  • fDate
    2-2 Dec. 2005
  • Lastpage
    2348
  • Abstract
    In multiple-input multiple-output (MIMO) systems, we need the scheme that attains high quality and high throughput data transmission. We proposed the throughput maximization transmission control scheme (TMTC) for MIMO systems. The proposed transmission control scheme selects a transmission scheme with maximum transmission rate based on signal to interference and noise ratio (SINR) and signal to noise ratio (SNR). In time-varying channels, however, the selected transmission scheme fed back to the transmitter becomes outdated. That is, there is a mismatch between "the selected transmission scheme at the receiver" and "the optimum transmission scheme at the transmitter." Therefore, the throughput performance of TMTC may decrease. In this paper, we propose TMTC using a minimum-mean square error (MMSE) channel prediction for MIMO systems. From the computer simulation, we show that even when the large feedback delay exists, the proposed scheme attains high throughput
  • Keywords
    MIMO systems; data communication; least mean squares methods; radio networks; telecommunication congestion control; time-varying channels; MIMO systems; MMSE; channel prediction; computer simulation; feedback delay; maximum transmission rate; minimum-mean square error; multiple-input multiple-output; signal to interference and noise ratio; throughput maximization transmission control scheme; time-varying channels; Computer errors; Computer simulation; Control systems; Data communication; Interference; MIMO; Signal to noise ratio; Throughput; Time-varying channels; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2005. GLOBECOM '05. IEEE
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    0-7803-9414-3
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2005.1578082
  • Filename
    1578082