• DocumentCode
    1479186
  • Title

    Feedback Reduction for CDI-Based Beamforming in the MIMO Broadcast Channel

  • Author

    Shi, Yan ; Jensen, Michael A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
  • Volume
    15
  • Issue
    4
  • fYear
    2011
  • fDate
    4/1/2011 12:00:00 AM
  • Firstpage
    431
  • Lastpage
    433
  • Abstract
    Recent research has demonstrated that for the multi-antenna broadcast channel, applying transmit precoding based on the channel spatial covariance matrices leads to temporal stability of the achievable network sum rate. This approach allows reduction in the frequency of channel information feedback events at the expense of increased feedback complexity. While recent work has demonstrated the possibility of feedback complexity reduction through matrix decompositions, this paper demonstrates significant additional feedback reduction through compression of the covariance matrices using the Karhunen-Loève Transform.
  • Keywords
    Karhunen-Loeve transforms; MIMO communication; array signal processing; broadcast channels; covariance matrices; CDI-based beamforming; Karhunen-Loeve Transform; MIMO broadcast channel; channel distribution information feedback; channel spatial covariance matrices; feedback complexity; feedback reduction; multiantenna broadcast channel; Array signal processing; Complexity theory; Covariance matrix; Eigenvalues and eigenfunctions; MIMO; Throughput; Transforms; MIMO systems; broadcast channels; feedback communication;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2011.030911.101861
  • Filename
    5738299