• DocumentCode
    3417837
  • Title

    An 8×8 FPGA-based MIMO-OFDM real-time transmission testbed: OGNO implementation and experimental results

  • Author

    Lan, Yang ; Zhang, Zhan ; Kayama, Hidetoshi

  • Author_Institution
    DOCOMO Beijing Commun. Labs. Co., Ltd., Beijing, China
  • fYear
    2010
  • fDate
    24-28 Oct. 2010
  • Firstpage
    1467
  • Lastpage
    1470
  • Abstract
    Hardware testbeds are an essential tool to evaluate the performance of multiple-input multiple-output (MIMO) systems in a realistic environment. However, most of the existing MIMO transmission testbeds have been conducted under less than or equal to four antennas. An 8×8 field programmable gate arrays (FGPA)-based MIMO-orthogonal frequency division multiplexing (OFDM) real-time transmission testbed has been developed by the DOCOMO Beijing Labs (DBL) in a typical indoor environment. Our objective is twofold: 1) to validate the functionality of MIMO and OFDM technologies; 2) meanwhile, to verify our receiver detection algorithm, orthogonal grouping-based near optimal detection algorithm (OGNO), proposed for high order MIMO systems. This paper presents a description of the testbed, detailing the testbed architecture, algorithms interest and hardware components. Moreover, we also present measurement results and show the impact of spatial correlation on system performance.
  • Keywords
    MIMO communication; OFDM modulation; field programmable gate arrays; indoor radio; 8x8 FPGA-based MIMO-OFDM real-time transmission testbed; DOCOMO Beijing Labs; OGNO; indoor environment; multiple-input multiple-output systems; orthogonal grouping-based near optimal detection algorithm; receiver detection algorithm; spatial correlation; Antenna measurements; Detection algorithms; MIMO; OFDM; Receivers; Transmitting antennas; MIMO; OFDM; Testbed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5897-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2010.5656662
  • Filename
    5656662