• DocumentCode
    3321850
  • Title

    Dual-lattice-aided MIMO detection for slow fading channels

  • Author

    Monteiro, Francisco A. ; Wassell, Ian J.

  • Author_Institution
    Comput. Lab., Univ. of Cambridge, Cambridge, UK
  • fYear
    2011
  • fDate
    14-17 Dec. 2011
  • Firstpage
    502
  • Lastpage
    507
  • Abstract
    This paper presents a lattice detection strategy for spatial multiplexing (SM) which takes advantage of a pre-processing stage based on the geometric relations between the points in the primal lattice and the ones in the dual lattice. The first part of the paper clarifies this geometric relationship that will be exploited later on in the design of a pre-processing stage for the proposed receiver. This pre-processing finds a set of successive minima in the dual lattice, and is only required at each channel update. The subsequent symbol detection algorithm exclusively involves a linear transformation (the pseudo-inverse) in order to generate a list of candidate solutions for the underlying closest vector problem (CVP). The receiver outperforms ordered successive interference cancellation and, in the low signal-to-noise ratio (SNR) regime, also outperforms lattice-reduction-aided receivers at the expense of a "true" sphere-decoder that runs only once per channel update, and not for each received vector.
  • Keywords
    MIMO communication; decoding; fading channels; space division multiplexing; channel update; closest vector problem; dual-lattice-aided MIMO detection; geometric relations; lattice detection strategy; lattice-reduction-aided receivers; linear transformation; low signal-to-noise ratio regime; ordered successive interference cancellation; preprocessing stage; primal lattice; pseudo-inverse; slow fading channels; spatial multiplexing; subsequent symbol detection algorithm; true sphere-decoder; Complexity theory; Decoding; Lattices; MIMO; Receiving antennas; Vectors; MIMO detection; closest vector problem (CVP); dual lattice; hyperplanes; spatial multiplexing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology (ISSPIT), 2011 IEEE International Symposium on
  • Conference_Location
    Bilbao
  • Print_ISBN
    978-1-4673-0752-9
  • Electronic_ISBN
    978-1-4673-0751-2
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2011.6151613
  • Filename
    6151613