• DocumentCode
    2941141
  • Title

    Improvement of Iterative Decoding Algorithm in the Adaptive Modulation and Coding System

  • Author

    Jeonghwan Lee ; Gilsang Yoon ; Insik Cho ; Changhyeon Chae ; Daewon Choi ; Taejin Jung ; Cheolhong Kim ; Intae Hwang ; Cheolwoo You ; Daeki Hong

  • Author_Institution
    Chonnam Nat. Univ., Gwangju
  • fYear
    2008
  • fDate
    10-12 Jan. 2008
  • Firstpage
    680
  • Lastpage
    681
  • Abstract
    In this paper, we propose and analyze an adaptive modulation system with optimal turbo coded V-BLAST (vertical-bell-lab layered space-time) technique that adopts the extrinsic information from MAP (maximum a posteriori) decoder with iterative decoding as a priori probability in two decoding procedures of V-BLAST scheme; the ordering and the slicing. The result indicates that the proposed systems achieve a better throughput performance than the conventional systems in the whole SNR range. In addition, the simulation result shows that the maximum throughput improvement in each MIMO scheme is respectively about 421 kbps, 545 kbps, and 880 kbps. It is suggested that the effect of the proposed decoding algorithm accordingly gets higher as the number of system antenna increases.
  • Keywords
    MIMO communication; adaptive codes; adaptive modulation; iterative decoding; maximum likelihood estimation; probability; turbo codes; MIMO scheme; adaptive modulation system; bit rate 421 kbit/s; bit rate 545 kbit/s; bit rate 880 kbit/s; coding system; iterative decoding algorithm; maximum a posteriori decoder; probability; system antenna; turbo code; vertical-bell-lab layered space-time technique; Adaptive systems; Iterative algorithms; Iterative decoding; MIMO; Modulation coding; Receiving antennas; Telecommunication computing; Throughput; Transmitting antennas; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference, 2008. CCNC 2008. 5th IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-1456-7
  • Electronic_ISBN
    978-1-4244-1457-4
  • Type

    conf

  • DOI
    10.1109/ccnc08.2007.156
  • Filename
    4446454