• DocumentCode
    3451020
  • Title

    Performance optimization of physical layer using turbo codes: a case study of Wi-Max mobile environment

  • Author

    Kene, Jagdish D. ; Kulat, Kishor D.

  • Author_Institution
    ECE Department, Visvesvaraya National Institute of Technology, Nagpur, India
  • fYear
    2012
  • fDate
    19-21 Dec. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Turbo code gives relatively better performance as compare to convolutional codes. Turbo code offers an outstanding coding gain very close to Shannon limit for AWGN channel to achieve maximum throughput (Typical Wi-Max application). The objective of this paper is to study the Mobile Wi-Max system performance by using turbo codes and setting the system parameters to achieve performance optimization. For different transmission conditions BER performance has been simulated. Finally for the performance optimization of mobile Wi-Max system the effect of various Decoding algorithms, Frame size and Code rates are considered for simulation to evaluate the system performance. Improvement achieved in the features of Mobile Wi-Max system for a particular selection of set of parameters has been reported.
  • Keywords
    Decoding Algorithms; FEC codes; Shannon limit; Wi-Max;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technology Trends in Electronics, Communication and Networking (ET2ECN), 2012 1st International Conference on
  • Conference_Location
    Surat, Gujarat, India
  • Print_ISBN
    978-1-4673-1628-6
  • Type

    conf

  • DOI
    10.1109/ET2ECN.2012.6470084
  • Filename
    6470084