• DocumentCode
    2151719
  • Title

    Markov Chain Monte Carlo based multiuser/MIMO detector: 802.11ac implementation and measurement

  • Author

    Hedstrom, Jonathan C. ; Yuen, Chung Him ; Farhang-Boroujeny, Behrouz

  • Author_Institution
    ECE department, University of Utah, USA
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    4846
  • Lastpage
    4852
  • Abstract
    There is a strong need in wireless communication systems for better, low-complexity detectors. Here we demonstrate the implementation, simulation, and real-world measurements of such a near-optimal approximate ML method called Markov Chain Monte Carlo (MCMC) within an 802.11ac WiFi framework. Detail is provided on the relationship between SNR, channel matrix condition number (CN), and bit error rate (BER). The importance of considering condition number in real-world measurements is demonstrated.
  • Keywords
    Bit error rate; Convolutional codes; Detectors; Encoding; Signal to noise ratio; Time-domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICC.2015.7249090
  • Filename
    7249090