• DocumentCode
    3208735
  • Title

    Greedy approach for efficient packet erasure coding

  • Author

    Tirronen, Tuomas ; Virtamo, Jorma

  • Author_Institution
    Dept. of Commun. & Networking, Helsinki Univ. of Technol. TKK, Helsinki
  • fYear
    2008
  • fDate
    1-5 Sept. 2008
  • Firstpage
    344
  • Lastpage
    349
  • Abstract
    We propose a packet level erasure coding scheme where packets are generated using a greedy strategy. The coding is started with a systematic round of the original file blocks. This gives footing for greedy packet generation, where the degree of each randomly generated packet is determined so as to maximize the probability for the packet to release a new decoded block immediately upon arrival at the receiving end. The coding scheme relies on the estimate of erasure probability of the channel, which is used by the sender to update the belief on the number of blocks the recipient has thus far decoded. The resulting greedy sequence of packet degrees is investigated by simulations to estimate the expected number of packets needed for decoding. The simulations exhibit low overheads and further indicate that the use of greedy sequence of packet degrees provides a way to perform efficient and practical packet erasure coding. We also discuss the robustness of the scheme along with some other practical considerations.
  • Keywords
    channel estimation; decoding; error correction codes; greedy algorithms; probability; channel estimation; decoding; greedy approach; greedy packet generation; packet erasure coding; packet level erasure coding; probability maximization; Capacity planning; Data communication; Design automation; Design optimization; Forward error correction; Iterative decoding; Optimization methods; Probability; Robustness; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Turbo Codes and Related Topics, 2008 5th International Symposium on
  • Conference_Location
    Lausanne
  • Print_ISBN
    978-1-4244-2862-5
  • Electronic_ISBN
    978-1-4244-2863-2
  • Type

    conf

  • DOI
    10.1109/TURBOCODING.2008.4658723
  • Filename
    4658723