• DocumentCode
    3266294
  • Title

    Low complexity lattice reduction aided precoding and detection for multiuser MIMO systems

  • Author

    Ali Khan, Md Hashem ; Rajib, Md R. U. D. ; Moon Ho Lee

  • Author_Institution
    Div. of Electron. & Inf. Eng., Chonbuk Nat. Univ., Jeonju, South Korea
  • fYear
    2013
  • fDate
    2-5 July 2013
  • Firstpage
    310
  • Lastpage
    315
  • Abstract
    Lenstra-Lenstra-Lovasz (LLL) algorithm has been extensively used to obtain better basis of the channel matrix. Another technique named complex lattice reduction (CLR) that aims to enforce orthogonality between the columns of the channel matrix and reduce its size as well. The orthogonalization and size reduction work are left for the CLR algorithm so that a modification of the channel matrix is carried out, resulting in a better precoding and detection performances. Our simulation results show that the BER performance is better than conventional and reduces the complexity compared with the LLL algorithm based schemes.
  • Keywords
    MIMO communication; communication complexity; error statistics; multiuser detection; precoding; BER performance; Lenstra-Lenstra-Lovasz algorithm; channel matrix; detection performance; low complexity lattice reduction; multiple input multiple output system; multiuser MIMO system; precoding; Complexity theory; Detectors; Lattices; MIMO; Matrix decomposition; Signal processing algorithms; Vectors; Block Diagonalization (BD); Lattice reduction; Multiuser MIMO; low complexity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous and Future Networks (ICUFN), 2013 Fifth International Conference on
  • Conference_Location
    Da Nang
  • ISSN
    2165-8528
  • Type

    conf

  • DOI
    10.1109/ICUFN.2013.6614832
  • Filename
    6614832