• DocumentCode
    3472628
  • Title

    Geodesic prediction for limited feedback multiuser MIMO systems in temporally correlated channels

  • Author

    Inoue, Takao ; Heath, Robert W., Jr.

  • Author_Institution
    Wireless Networking & Commun. Group, Univ. of Texas at Austin, Austin, TX
  • fYear
    2009
  • fDate
    18-22 Jan. 2009
  • Firstpage
    167
  • Lastpage
    170
  • Abstract
    Limited feedback in multiuser multi-antenna systems is a practical technique for providing partial channel state information (CSI) to the transmitter. Unfortunately, it is known that the number of feedback bits per mobile terminal must be scaled with the number of transmit antennas and system signal to noise ratio. Therefore very high resolution codebooks are needed to approach the theoretically achievable sum rate. In this paper, we propose a geodesic prediction algorithm to 1) reduce the feedback overhead under temporally correlated channels, and 2) improve on the sum rate ceiling observed with a fixed codebook size. The proposed algorithm provides local refinement of the CSI thereby achieving higher resolution CSI at the transmitter despite of using a fixed codebook size. Furthermore, feedback can be performed infrequently to lower the average feedback rate. Numerical results are provided to illustrate the performance of the proposed algorithm.
  • Keywords
    MIMO communication; antenna arrays; differential geometry; feedback; telecommunication channels; transmitters; geodesic prediction; high resolution codebooks; limited feedback multiuser MIMO systems; multiuser multi-antenna systems; partial channel state information; temporally correlated channels; transmitter; Antenna feeds; Channel state information; MIMO; Mobile antennas; Prediction algorithms; Signal resolution; Signal to noise ratio; State feedback; Transmitters; Transmitting antennas; Grassmann manifold; MIMO Systems; multiuser channels; prediction methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radio and Wireless Symposium, 2009. RWS '09. IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-2698-0
  • Electronic_ISBN
    978-1-4244-2699-7
  • Type

    conf

  • DOI
    10.1109/RWS.2009.4957311
  • Filename
    4957311