With increasing Internet traffic congestion, the provision of reliable transmission and packet loss recovery continues to be of substantial importance. In this paper, we analyze a new recovery method using punctured convolutional codes, demonstrating the simplicity and efficiency of the proposed method for the recovery of lost packets. The analysis provides a method for determining the recoverability and the post-reconstruction receiving rate for a given convolutional code. The exact expressions for calculating the recovery rate are derived for a number of convolutional codes and the (2, 1, m) punctured convolutional code. Where packet loss probabilities are in the range typically found in Internet transmissions, the convolutional code-based method delivers superior performance over the traditional parity method with the same redundancy.
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Anna YAMAGUCHI, Masayuki ARAI, Satoshi FUKUMOTO, Kazuhiko IWASAKI, "Analytical Evaluation of Internet Packet Loss Recovery Using Convolutional Codes" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 5, pp. 854-863, May 2002, doi: .
Abstract: With increasing Internet traffic congestion, the provision of reliable transmission and packet loss recovery continues to be of substantial importance. In this paper, we analyze a new recovery method using punctured convolutional codes, demonstrating the simplicity and efficiency of the proposed method for the recovery of lost packets. The analysis provides a method for determining the recoverability and the post-reconstruction receiving rate for a given convolutional code. The exact expressions for calculating the recovery rate are derived for a number of convolutional codes and the (2, 1, m) punctured convolutional code. Where packet loss probabilities are in the range typically found in Internet transmissions, the convolutional code-based method delivers superior performance over the traditional parity method with the same redundancy.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_5_854/_p
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@ARTICLE{e85-d_5_854,
author={Anna YAMAGUCHI, Masayuki ARAI, Satoshi FUKUMOTO, Kazuhiko IWASAKI, },
journal={IEICE TRANSACTIONS on Information},
title={Analytical Evaluation of Internet Packet Loss Recovery Using Convolutional Codes},
year={2002},
volume={E85-D},
number={5},
pages={854-863},
abstract={With increasing Internet traffic congestion, the provision of reliable transmission and packet loss recovery continues to be of substantial importance. In this paper, we analyze a new recovery method using punctured convolutional codes, demonstrating the simplicity and efficiency of the proposed method for the recovery of lost packets. The analysis provides a method for determining the recoverability and the post-reconstruction receiving rate for a given convolutional code. The exact expressions for calculating the recovery rate are derived for a number of convolutional codes and the (2, 1, m) punctured convolutional code. Where packet loss probabilities are in the range typically found in Internet transmissions, the convolutional code-based method delivers superior performance over the traditional parity method with the same redundancy.},
keywords={},
doi={},
ISSN={},
month={May},}
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TY - JOUR
TI - Analytical Evaluation of Internet Packet Loss Recovery Using Convolutional Codes
T2 - IEICE TRANSACTIONS on Information
SP - 854
EP - 863
AU - Anna YAMAGUCHI
AU - Masayuki ARAI
AU - Satoshi FUKUMOTO
AU - Kazuhiko IWASAKI
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2002
AB - With increasing Internet traffic congestion, the provision of reliable transmission and packet loss recovery continues to be of substantial importance. In this paper, we analyze a new recovery method using punctured convolutional codes, demonstrating the simplicity and efficiency of the proposed method for the recovery of lost packets. The analysis provides a method for determining the recoverability and the post-reconstruction receiving rate for a given convolutional code. The exact expressions for calculating the recovery rate are derived for a number of convolutional codes and the (2, 1, m) punctured convolutional code. Where packet loss probabilities are in the range typically found in Internet transmissions, the convolutional code-based method delivers superior performance over the traditional parity method with the same redundancy.
ER -