• DocumentCode
    2444553
  • Title

    A VLSI 8Ã\x978 MIMO Near-ML Decoder Engine

  • Author

    Knagge, Geoff ; Bickerstaff, Mark ; Ninness, Brett ; Weller, Steven R. ; Woodward, Graeme

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Newcastle Univ., NSW
  • fYear
    2006
  • fDate
    2-4 Oct. 2006
  • Firstpage
    387
  • Lastpage
    392
  • Abstract
    Multiple-input multiple-output (MIMO) systems are of significant interest due to their ability to increase the capacity of wireless communications systems, but for these to be useful they must also be practical for implementation in VLSI circuits. A particularly difficult part of these systems is the decoder, where the optimal maximum-likelihood (ML) solution is desirable, but cannot be directly implemented due to its exponential complexity. The paper presents the first published 8times8 MIMO detection engine with an integrated channel preprocessing unit, achieving near-ML BER results at 57.6 Mbps, using QPSK in an extended HSDPA application. Other novelties include the high speed sorting mechanism and power saving features
  • Keywords
    MIMO communication; VLSI; maximum likelihood decoding; wireless channels; 57.6 Mbit/s; HSDPA application; MIMO near-ML decoder engine; QPSK; VLSI circuits; high speed sorting mechanism; integrated channel preprocessing unit; multiple-input multiple-output system; optimal maximum-likelihood solution; power saving features; very large scale integration; wireless communication system; Bit error rate; Circuits; Engines; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Multiaccess communication; Quadrature phase shift keying; Very large scale integration; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems Design and Implementation, 2006. SIPS '06. IEEE Workshop on
  • Conference_Location
    Banff, Alta.
  • ISSN
    1520-6130
  • Print_ISBN
    1-4244-0382-0
  • Electronic_ISBN
    1520-6130
  • Type

    conf

  • DOI
    10.1109/SIPS.2006.352614
  • Filename
    4161884