• DocumentCode
    1399369
  • Title

    A 675 Mbps, 4 \\times 4 64-QAM K-Best MIMO Detector in 0.13 \\mu{\\rm m} CMOS

  • Author

    Shabany, Mahdi ; Gulak, P. Glenn

  • Author_Institution
    Electr. Eng. Dept., Sharif Univ. of Technol., Tehran, Iran
  • Volume
    20
  • Issue
    1
  • fYear
    2012
  • Firstpage
    135
  • Lastpage
    147
  • Abstract
    This paper introduces a novel scalable pipelined VLSI architecture for a 4 × 4 64-QAM hard-output multiple-input-multiple-output (MIMO) detector based on K-best lattice decoders. The key contribution is a means of expanding the intermediate nodes of the search tree on-demand, rather than exhaustively, along with three types of distributed sorters operating in a pipelined structure. The proposed architecture has a fixed critical path independent of the constellation size, on-demand expansion scheme, efficient distributed sorters, and is scalable to higher number of antennas. Fabricated in 0.13 μm CMOS, it occupies 0.95 mm2 core area. Operating at 282 MHz clock frequency, it dissipates 135 mW at 1.3 V supply with no BER performance loss. It achieves an SNR-independent throughput of 675 Mbps satisfying the requirements of IEEE 802.16m and long term evolution (LTE) systems. The measurements confirm that this design consumes 3.0 × less energy/bit and operates at a significantly higher throughput compared to the best previously published design.
  • Keywords
    Long Term Evolution; MIMO communication; VLSI; decoding; quadrature amplitude modulation; 64 QAM; CMOS; K best lattice decoders; MIMO detector; bit rate 675 Mbit/s; long term evolution; scalable pipelined VLSI architecture; wavelength 0.13 mum; Clocks; Computer architecture; Detectors; MIMO; Sorting; Throughput; Very large scale integration; K-best detectors; WiMAX systems; long term evolution (LTE) systems; multiple-input–multiple-output (MIMO) detection;
  • fLanguage
    English
  • Journal_Title
    Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-8210
  • Type

    jour

  • DOI
    10.1109/TVLSI.2010.2090367
  • Filename
    5661890