• DocumentCode
    2493152
  • Title

    Design and FPGA implementation of reduced-complexity MIMO-MLD systems

  • Author

    Al-Zahrani, Y.A. ; Al-Marshed, S. ; Al-Dhofyan, Abdullah ; Sulyman, Ahmed Iyanda ; Al-Dosari, S. ; Elnamaky, Mohamed ; Al-Shebeili, S.

  • Author_Institution
    King Abdulaziz City for Sci. & Technol. (KACST), Riyadh, Saudi Arabia
  • fYear
    2010
  • fDate
    15-18 Dec. 2010
  • Firstpage
    348
  • Lastpage
    353
  • Abstract
    Multiple-antenna systems, also known as multiple input-multiple output (MIMO) radio, improve the capacity and reliability of radio communication systems. Of considerable concern however is the huge complexity involved in the implementation of such systems. Therefore, the design of low complexity, low cost, MIMO systems that keep most of the advantages and benefits of the full-complexity system has gained significant attentions recently. In this paper, we design and implement on field programmable gate array (FPGA) board, a reduced-complexity MIMO-maximum likelihood detection (MLD) system whose performance is as close as possible to the optimal MLD (full-complexity) system while making significant cut back in the over-all hardware/software complexity (and therefore the operating cost) of the system.
  • Keywords
    MIMO communication; field programmable gate arrays; maximum likelihood detection; multifrequency antennas; telecommunication network reliability; FPGA; MIMO systems; MLD; communication reliability; field programmable gate array; maximum likelihood detection; multiple input multiple output; multiple-antenna systems; radio communication systems; Antennas; Complexity theory; Computer languages; Decoding; MIMO; Registers; Table lookup; FPGA; MIMO-MLD; antenna selection; constellation partition; reduced-complexity MIMO systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology (ISSPIT), 2010 IEEE International Symposium on
  • Conference_Location
    Luxor
  • Print_ISBN
    978-1-4244-9992-2
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2010.5711809
  • Filename
    5711809