• DocumentCode
    1734393
  • Title

    Low-complexity vector precoding for multi-user systems

  • Author

    Barrenechea, M. ; Burg, Andreas ; Mendicute, Mikel

  • Author_Institution
    Dept. of Electron. & Comput. Sci., Univ. of Mondragon, Mondragón, Spain
  • fYear
    2012
  • Firstpage
    453
  • Lastpage
    457
  • Abstract
    Vector precoding enables non-cooperative signal acquisition in the multi-user broadcast channel. The performance advantage with respect to the more straightforward linear precoding algorithms comes as a consequence of an added perturbation vector, which enhances the properties of the precoded signal. Nevertheless, the computation of the perturbation signal entails a search for the closest point in an infinite lattice, which is known to belong in the class of non-deterministic polynomial-time hard (NP-hard) problems. This contribution presents a novel tree search scheme that achieves an error-rate performance that is close to the optimum given by the sphere encoder, but with a significantly simpler tree-search structure that only considers the most promising nodes for expansion. With the aim of better showcasing the low-complexity and simple datapath of the proposed tree-search technique, its hardware implementation on a 65 nm ASIC target device has been performed.
  • Keywords
    computational complexity; linear predictive coding; polynomials; signal detection; ASIC target device; NP-hard problems; error rate performance; linear precoding algorithms; low complexity vector precoding; multiuser broadcast channel; multiuser systems; noncooperative signal acquisition; novel tree search scheme; perturbation signal; polynomial time hard problems; precoded signal; sphere encoder; tree search structure; tree search technique;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4673-5050-1
  • Type

    conf

  • DOI
    10.1109/ACSSC.2012.6489045
  • Filename
    6489045