• DocumentCode
    2896881
  • Title

    Bounded Block Parallel Lattice Reduction algorithm for MIMO-OFDM and its application in LTE MIMO receiver

  • Author

    Ahmad, Ubaid ; Li, Min ; Pollin, Sofie ; Fasthuber, Robert ; Van der Perre, Liesbet ; Catthoor, Francky

  • Author_Institution
    Interuniversity Micro-Electron. Center (IMEC) vzw, Leuven, Belgium
  • fYear
    2010
  • fDate
    6-8 Oct. 2010
  • Firstpage
    168
  • Lastpage
    173
  • Abstract
    Lattice reduction is a promising technique to enhance the performance of sub-optimal MIMO detectors. This paper presents the Bounded Block Parallel Lattice Reduction (BBP-LR) algorithm, which is an implementation friendly low complexity algorithm specifically optimized for practical MIMO-OFDM systems. The optimisation of the BBP-LR algorithm is based on the following: 1) exploiting the frequency coherence in MIMO-OFDM to enable parallel processing that suits SIMD/vector architectures; 2) bounding the execution behaviour to reduce complexity and enable hard real-time task scheduling; 3) performing a frame based preprocessing to significantly reduce complexity. The proposed BBP-LR algorithm has been evaluated in the context of LTE MIMO receivers. When comparing to linear MIMO detectors, the proposed algorithm brings performance improvement at a small complexity increase. Specifically, when compared to ZF, BBP-LR based preprocessing brings an impressive 11dB SNR gain at the cost of only 23% complexity increase.
  • Keywords
    3G mobile communication; MIMO communication; OFDM modulation; parallel architectures; radio receivers; signal detection; BBP-LR algorithm; LTE MIMO receiver; MIMO-OFDM system; SIMD-vector architecture; bounded block parallel lattice reduction algorithm; multiple-input multiple-output system; parallel processing; real-time task scheduling; suboptimal MIMO detector; Bit error rate; Complexity theory; Detectors; Lattices; MIMO; OFDM; Signal to noise ratio; LTE; Lattice Reduction; MIMO;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (SIPS), 2010 IEEE Workshop on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1520-6130
  • Print_ISBN
    978-1-4244-8932-9
  • Electronic_ISBN
    1520-6130
  • Type

    conf

  • DOI
    10.1109/SIPS.2010.5624784
  • Filename
    5624784