• DocumentCode
    642686
  • Title

    A high-speed QR decomposition processor for carrier-aggregated LTE-A downlink systems

  • Author

    Gangarajaiah, Rakesh ; Liang Liu ; Stala, Michal ; Nilsson, Per-Ake ; Edfors, Ove

  • Author_Institution
    Dept. of Electr. & Inf. Technol., Lund Univ., Lund, Sweden
  • fYear
    2013
  • fDate
    8-12 Sept. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a high-speed QR decomposition (QRD) processor targeting the carrier-aggregated 4×4 Long Term Evolution-Advanced (LTE-A) receiver. The processor provides robustness in spatially correlated channels with reduced complexity by using modifications to the Householder transform, such as decomposing-target redefinition and matrix real-valued decomposition. In terms of hardware design, we extensively explore flexibilities in systolic architectures using a high-level synthesis tool to achieve area-power efficiency. In a 65nm CMOS technology, the processor occupies a core area of 0.77mm2 and produces 72MQRD per second, the highest reported throughput. The power consumed in the proposed processor is 127 mW.
  • Keywords
    CMOS integrated circuits; Long Term Evolution; radio receivers; telecommunication channels; transforms; CMOS technology; LTE-A receiver; Long Term Evolution-Advanced receiver; MQRD; QRD processor; area-power efficiency; carrier-aggregated LTE-A downlink systems; decomposing-target redefinition; hardware design; high-level synthesis tool; high-speed QR decomposition processor; householder transform; matrix real-valued decomposition; power 127 mW; spatially correlated channels; systolic architectures; Complexity theory; Hardware; MIMO; Matrix decomposition; Throughput; Transforms; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuit Theory and Design (ECCTD), 2013 European Conference on
  • Conference_Location
    Dresden
  • Type

    conf

  • DOI
    10.1109/ECCTD.2013.6662237
  • Filename
    6662237