• DocumentCode
    3403579
  • Title

    Reduced Complexity Stack-Based Limited Tree Searching Algorithm for V-BLAST Systems

  • Author

    Lee, Namjeong ; Lee, Keonkook ; Cha, Jongsub ; Kang, Joonhyuk ; Gil, Gyetae

  • Author_Institution
    Sch. of Eng., Inf. & Commun. Univ.
  • fYear
    2006
  • fDate
    23-25 Oct. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The vertical Bell Labs layered space-time (V-BLAST) architecture is considered as an efficient technology for achieving high spectral efficiency in a rich-scattering environment. In this paper, we propose a computationally efficient near-optimal detection algorithm for V-BLAST systems. The proposed scheme employs QR decomposition (QRD) of the channel matrix and stack-based limited tree searching method. To reduce computational complexity, especially in low SNRs, the number of branches required for the extension of the tree structure is conditionally chosen according to the channel condition and SNR. The new algorithm requires a fraction of an effort to achieve a near-optimal performance in comparison with other near-optimal detection schemes
  • Keywords
    channel coding; matrix decomposition; space-time codes; spectral analysis; tree searching; QR decomposition; QRD; V-BLAST; channel matrix; near-optimal detection algorithm; rich-scattering environment; spectral efficiency; stack-based limited tree searching method; vertical Bell Labs layered space-time architecture; Bit error rate; Computational complexity; Computer architecture; Decision trees; Detection algorithms; Detectors; MIMO; Space technology; System performance; Tree data structures; Multiple-Input Multiple-Output (MIMO); QR decomposition; Stack algorithm; V-BLAST;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference, 2006. MILCOM 2006. IEEE
  • Conference_Location
    Washington, DC
  • Print_ISBN
    1-4244-0617-X
  • Electronic_ISBN
    1-4244-0618-8
  • Type

    conf

  • DOI
    10.1109/MILCOM.2006.301996
  • Filename
    4086426