• DocumentCode
    3386029
  • Title

    VLSI implementation of a low-complexity LLL lattice reduction algorithm for MIMO detection

  • Author

    Bruderer, L. ; Studer, C. ; Wenk, M. ; Seethaler, D. ; Burg, A.

  • Author_Institution
    Integrated Syst. Lab., ETH Zurich, Zurich, Switzerland
  • fYear
    2010
  • fDate
    May 30 2010-June 2 2010
  • Firstpage
    3745
  • Lastpage
    3748
  • Abstract
    Lattice-reduction (LR)-aided successive interference cancellation (SIC) is able to achieve close-to optimum error-rate performance for data detection in multiple-input multiple-output (MIMO) wireless communication systems. In this work, we propose a hardware-efficient VLSI architecture of the Lenstra-Lenstra-Lovász (LLL) LR algorithm for SIC-based data detection. For this purpose, we introduce various algorithmic modifications that enable an efficient hardware implementation. Comparisons with existing FPGA implementations show that our design outperforms state-of-the-art LR implementations in terms of hardware-efficiency and throughput. We finally provide reference ASIC implementation results for 130nm CMOS technology.
  • Keywords
    MIMO communication; VLSI; interference suppression; radiocommunication; signal detection; Lenstra-Lenstra-Lovasz LR algorithm; MIMO detection; SIC-based data detection; hardware-efficient VLSI architecture; low-complexity LLL lattice reduction algorithm; multiple-input multiple-output wireless communication system; successive interference cancellation; CMOS technology; Field programmable gate arrays; Hardware; Interference cancellation; Lattices; MIMO; Silicon carbide; Throughput; Very large scale integration; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-5308-5
  • Electronic_ISBN
    978-1-4244-5309-2
  • Type

    conf

  • DOI
    10.1109/ISCAS.2010.5537742
  • Filename
    5537742