• DocumentCode
    1628480
  • Title

    Reduction of the Amount of Channel State Information Feedback in MIMO-OFDM Eigenbeam-Space Division Multiplexing Systems

  • Author

    Ohwatari, Yusuke ; Phu, Bui Huu ; Ogawa, Yasutaka ; Nishimura, Toshihiko ; Ohgane, Takeo

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo
  • fYear
    2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    MIMO space division multiplexing in an OFDM system (MIMO-OFDM) can achive high-data-rate transmission without additional frequency spectra. Furthermore, eigenbeam-space division multiplexing (E-SDM) which is also called the singular value decomposition (SVD) algorithm can provide maximum throughput in the MIMO channel when channel state information (CSI) is available at the transmitter. When the uplink and downlink channels are not reciprocal as in a FDD system, we need to feed back the CSI from the receiver to the transmitter. However, capacity is limited because CSI feedback is needed for each subcarrier in an OFDM system. This paper proposes the feedback of the time-domain channel estimated using the minimum mean square error method. The proposed method can reduce the amount of feedback information, and reveals better bit error rate performance than the other schemes.
  • Keywords
    MIMO communication; OFDM modulation; channel estimation; eigenvalues and eigenfunctions; least mean squares methods; singular value decomposition; space division multiplexing; time-domain analysis; MIMO channel; MIMO-OFDM eigenbeam-space division multiplexing systems; channel state information feedback; minimum mean square error method; singular value decomposition; time-domain channel estimation; Channel state information; Downlink; Feeds; MIMO; OFDM; Singular value decomposition; State feedback; Throughput; Time domain analysis; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2006. VTC-2006 Fall. 2006 IEEE 64th
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0062-7
  • Electronic_ISBN
    1-4244-0063-5
  • Type

    conf

  • DOI
    10.1109/VTCF.2006.92
  • Filename
    4109357