• DocumentCode
    1553117
  • Title

    Diversity Analysis of Group Vector Perturbation Precoding

  • Author

    Tosato, Filippo ; Sandell, Magnus

  • Author_Institution
    Telecommun. Res. Lab., Toshiba Res. Eur., Bristol, UK
  • Volume
    58
  • Issue
    10
  • fYear
    2012
  • Firstpage
    6426
  • Lastpage
    6432
  • Abstract
    We study the effect on diversity of using the sphere encoder-based vector perturbation (VP) technique of Peel and the lattice reduction-aided techniques (Babai approximations) of Windpassinger on a subset of the transmitted symbols. For a system with n diversity channels, we prove that the diversity order gap between the maximum diversity of n achieved by the full-size VP and the minimum diversity of 1 provided by linear precoding can be bridged by applying VP to a group of transmitted symbols. In particular, we prove that the diversity order is n-l , where l is the number of symbols that are not vector-perturbed. We show that this result holds true for lattice-reduction with both the rounding-off and nearest plane Babai approximations. The result shows that in terms of diversity, the group of vector-perturbed users counts as a single user. In fact, in a multiple-input and multiple-output Gaussian broadcast channel with l linearly precoded users, we can add up to n-l VP users and the diversity order for all users will decrease only by one, irrespective of how many VP users are added.
  • Keywords
    Gaussian channels; MIMO communication; broadcast channels; channel coding; perturbation techniques; precoding; vectors; Babai approximations; diversity analysis; diversity channels; group vector perturbation precoding; lattice reduction-aided techniques; multiple-input Gaussian broadcast channel; multiple-output Gaussian broadcast channel; sphere encoder; Approximation methods; Bit error rate; Diversity reception; Lattices; Signal to noise ratio; Upper bound; Vectors; Diversity order; lattice precoding; linear precoding; multiple-input multiple-output (MIMO) broadcast channel;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2012.2207088
  • Filename
    6231683