• DocumentCode
    3068941
  • Title

    Predictive Unitary Precoding for Spatial Multiplexing Systems in Temporally Correlated MIMO Channels with Delayed Limited Feedback

  • Author

    Zhang, Yu ; Zhu, Dalin ; Sun, Zhennian ; Lei, Ming

  • Author_Institution
    NEC Labs. China, Beijing, China
  • fYear
    2011
  • fDate
    5-9 Dec. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we propose a quantized predictive precoding scheme for spatial multiplexing multiple- input multiple-output (MIMO) systems with delayed feedback. A geodesic transmit subspace prediction algorithm is designed to predict the transmit subspace for the forthcoming transmission at the receiver. An infrequently updated codebook for transmit subspace quantization is developed to improve the quantization resolution. Numerical results show that in various time-varying channels with unit step feedback delay the performance of the proposed approach is better than previously proposed memoryless Grassmannian subspace packing scheme, the 1-bit geodesic feedback algorithm, and the Gaussian vector quantization algorithm, under the same or even lower feedback rate.
  • Keywords
    MIMO communication; channel coding; delays; feedback; precoding; space division multiplexing; time-varying channels; vector quantisation; Gaussian vector quantization algorithm; delayed limited feedback; geodesic transmit subspace prediction algorithm; memoryless Grassmannian subspace packing scheme; multiple-input multiple-output system; quantization resolution; quantized predictive precoding scheme; receiver; spatial multiplexing systems; temporally correlated MIMO channels; time-varying channels; transmit subspace quantization; unit step feedback delay; word length 1 bit; Focusing; MIMO; Mutual information; Quantization; Receivers; Transmitters; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
  • Conference_Location
    Houston, TX, USA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-9266-4
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2011.6133568
  • Filename
    6133568