Analysis of Using Convolutional Codes to Recover Packet Losses over Burst Erasure Channels

  • Authors:
  • Masayuki Arai;Anna Yamamoto;Anna Yamaguchi;Satoshi Fukumoto;Kazuhiko Iwasaki

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • PRDC '01 Proceedings of the 2001 Pacific Rim International Symposium on Dependable Computing
  • Year:
  • 2001

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Abstract

The ability of convolutional-code-based FECs torecover from packet losses over a channel subjected toburst erasure is evaluated.We analyze the maximumlengths of a burst packet loss that can be recovered.Weassume that only one burst packet loss has occurred, andconsider the recovery conditions for given lengths, that is,numbers of lost packets. We also present conditions for thegenerator matrices, which are used to encode and decodeconvolutional-code-based redundant packets.We thenapply a packet loss model based on a two-state Markovchain and use computer simulation to examine the abilityof our approach to recover packets lost in transmissionover bursty erasure channels.We show that this abilitychanges with the constraint length of the applied code andwith the generator matrix, and find conditions for a matrixto have high levels of ability. Finally, we apply our methodto the transfer of graphic data over the Internet, and useconvolutional codes in the recovery process.