• DocumentCode
    2944372
  • Title

    A coded-feedback construction of locally minimum-cost multicast network codes

  • Author

    Wang, Chih-Chun

  • Author_Institution
    Center for Wireless Syst. & Applic., Purdue Univ., West Lafayette, IN
  • fYear
    2008
  • fDate
    23-26 Sept. 2008
  • Firstpage
    146
  • Lastpage
    153
  • Abstract
    There are two common network models for network coded traffic: one is the fractional rate model (the primary model for non-coded communication) and the other is the integer rate model used for detailed coding analysis on packet-by-packet behaviors. The existing approach of finding minimum-cost multicast network codes is based on the fractional rate model and solves the corresponding linear-programming (LP) problem. The LP-based network optimization generally converges slowly due to the small step size and does not take care of the packet-by-packet coding behavior of network coding. This paper develops a minimum-cost multicast scheme based on the integer rate model. The new scheme exploits a new concept of coded feedback, takes full advantages of the forward network-coded traffic, and possesses many practical advantages for efficient implementation. The complexity and performance of the coded-feedback scheme are studied both analytically and through simulations.
  • Keywords
    channel coding; feedback; linear programming; multicast communication; telecommunication traffic; coded-feedback construction complexity; coding analysis; fractional rate model; integer rate model; linear programming problem; minimum-cost multicast network codes; network coded traffic; packet-by-packet coding; Bandwidth; Communication system traffic control; Convergence; Feedback; Multicast algorithms; Network coding; Telecommunication traffic; Throughput; Traffic control; Unicast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Control, and Computing, 2008 46th Annual Allerton Conference on
  • Conference_Location
    Urbana-Champaign, IL
  • Print_ISBN
    978-1-4244-2925-7
  • Electronic_ISBN
    978-1-4244-2926-4
  • Type

    conf

  • DOI
    10.1109/ALLERTON.2008.4797548
  • Filename
    4797548