• DocumentCode
    533294
  • Title

    Cube lattice decoder

  • Author

    Alghoniemy, Masoud ; Tewfik, Ahmed H.

  • Author_Institution
    Dept. of Electron. & Commun., Egypt-Japan Univ. of Sci. & Technol., Alexandria, Egypt
  • fYear
    2010
  • fDate
    23-25 Sept. 2010
  • Firstpage
    250
  • Lastpage
    253
  • Abstract
    An insight to the ℓ1 lattice decoder for flat-fading multiple antenna wireless communications systems is presented in this paper. In particular, we show that by formulating the problem as a bounded error subset selection, the equivalent decoder finds the nearest lattice point to the received signal in the ℓ1 sense. The search for the nearest lattice point is bounded inside a hypercube centered at the received vector; where the dimensions and orientation of the hypercube depends on the channel conditions. The search for the nearest codeword to the received vector is achieved by modeling the problem as a Mixed Integer Linear Program. The proposed decoder achieves near-optimum performance while its complexity is invariant with the operating signal to noise ratio.
  • Keywords
    decoding; integer programming; linear programming; multifrequency antennas; radiocommunication; bounded error subset selection; cube lattice decoder; flat fading multiple antenna; mixed integer linear programming; signal to noise ratio; wireless communications; Complexity theory; Decoding; Hypercubes; Lattices; MIMO; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software, Telecommunications and Computer Networks (SoftCOM), 2010 International Conference on
  • Conference_Location
    Split, Dubrovnik
  • Print_ISBN
    978-1-4244-8663-2
  • Electronic_ISBN
    978-953-290-004-0
  • Type

    conf

  • Filename
    5623652