• DocumentCode
    2027817
  • Title

    Grassmannian Packings for Efficient Quantization in MIMO Broadcast Systems

  • Author

    Ashikhmin, A. ; Gopalan, R.K.

  • Author_Institution
    Bell Labs., Murray Hill
  • fYear
    2007
  • fDate
    24-29 June 2007
  • Firstpage
    1811
  • Lastpage
    1815
  • Abstract
    It is well known that availability of the channel state information (CSI) at the transmitter significantly increases the throughput of MIMO broadcast systems. For even larger increase of the throughput it is important to identify and to transmit to receivers whose channel vectors are almost orthogonal to each other. Since typically the feedback link from the receivers to the transmitter is low-rate, only a quantized version of the CSI can be sent back to the transmitter. In this paper we consider the problem of designing Grassmannian packings that can serve as good quantization codebooks, have low maximum likelihood decoding complexity, and allow to identify receivers with orthogonal, and/or almost orthogonal, channel vectors in a very efficient way.
  • Keywords
    MIMO communication; channel estimation; maximum likelihood decoding; quantisation (signal); Grassmannian packings; MIMO broadcast system; channel state information; maximum likelihood decoding complexity; Array signal processing; Base stations; Broadcasting; Channel state information; Feedback; MIMO; Maximum likelihood decoding; Quantization; Throughput; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2007. ISIT 2007. IEEE International Symposium on
  • Conference_Location
    Nice
  • Print_ISBN
    978-1-4244-1397-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2007.4557484
  • Filename
    4557484