• DocumentCode
    3304063
  • Title

    A VLSI architecture of the Schnorr-Euchner decoder for MIMO systems

  • Author

    Guo, Zhan ; Nilsson, Peter

  • Author_Institution
    Dept. of Electrosci., Lund Univ., Sweden
  • Volume
    1
  • fYear
    2004
  • fDate
    31 May-2 June 2004
  • Firstpage
    65
  • Abstract
    The lattice decoder is shown to approach the performance of maximum-likelihood decoder for MIMO wireless systems with low complexity. A VLSI architecture of the K-best Schnorr-Euchner lattice decoder is proposed in this paper. The architecture is optimized on both algorithm and architecture levels, and supports a dynamic range of SNR ≤30 dB. Compared to a conventional VLSI implementation of the lattice decoder for MIMO systems, the proposed architecture results in up to 37% computation reductions, 20% area savings and more than 5 times decoding throughput improvements. The proposed architecture is implemented with 0.35 μm technology for a system of 4 transmit/receive antennas and 16-QAM modulation. The results show that a decoding throughput of 53.3 Mbits/s can be achieved, and the decoding latency is less than 2.5 μs.
  • Keywords
    MIMO systems; VLSI; antenna arrays; computational complexity; maximum likelihood decoding; quadrature amplitude modulation; radio networks; receiving antennas; transmitting antennas; 16-QAM modulation; K-best Schnorr-Euchner lattice decoder; MIMO wireless system; SNR; VLSI architecture; maximum-likelihood decoder; multiple-input multiple output; receive antenna; signal-to-noise ratio; transmit antenna; Computer architecture; Dynamic range; Gaussian noise; Lattices; MIMO; Maximum likelihood decoding; Receiving antennas; Throughput; Transmitting antennas; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies: Frontiers of Mobile and Wireless Communication, 2004. Proceedings of the IEEE 6th Circuits and Systems Symposium on
  • Print_ISBN
    0-7803-7938-1
  • Type

    conf

  • DOI
    10.1109/CASSET.2004.1322918
  • Filename
    1322918