• DocumentCode
    1373946
  • Title

    High-Throughput and Area-Efficient MIMO Symbol Detection Based on Modified Dijkstra´s Search

  • Author

    Kim, Tae-Hwan ; Park, In-Cheol

  • Author_Institution
    Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • Volume
    57
  • Issue
    7
  • fYear
    2010
  • fDate
    7/1/2010 12:00:00 AM
  • Firstpage
    1756
  • Lastpage
    1766
  • Abstract
    The multiple-input-multiple-output (MIMO) technique is being actively adopted in recent wireless communication standards to enhance data rate. Though channel capacity is increased by adopting multiple spatial streams, the computational complexity needed to eliminate the interference hinders the implementation of a practical system. In this paper, we propose a modified Dijkstra´s algorithm and a precalculation technique to improve the throughput by allowing overlapped processing. For the maximum-likelihood (ML) detection, in addition, we propose a simple approximation of L2-norm calculation to reduce the computational complexity without degrading the error performance noticeably. A MIMO symbol detector based on the proposed algorithm is implemented in a 0.18- μm CMOS process, targeting 4 × 4 16-QAM. It occupies about 0.5 mm2 with 25.1 K equivalent gates and shows a throughput of over 300 Mb/s.
  • Keywords
    MIMO communication; communication complexity; maximum likelihood detection; search problems; telecommunication standards; L2-norm; area-efficient MIMO symbol detection; channel capacity; computational complexity; high-throughput MIMO symbol detection; maximum-likelihood detection; modified Dijkstra´s search; multiple-input-multiple-output technique; wireless communication standards; Maximum-likelihood (ML) detection; VLSI; multiple-input multiple-output (MIMO); sphere decoding; wireless communications;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Regular Papers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1549-8328
  • Type

    jour

  • DOI
    10.1109/TCSI.2009.2034235
  • Filename
    5371849