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Binary systematic network coding for progressive packet decoding

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Binary systematic network coding for progressive packet decoding. / Jones, Andrew; Chatzigeorgiou, Ioannis; Tassi, Andrea.

IEEE International Conference on Communications (ICC): Communication Theory Symposium. IEEE, 2015. p. 4499-4504.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Jones, A, Chatzigeorgiou, I & Tassi, A 2015, Binary systematic network coding for progressive packet decoding. in IEEE International Conference on Communications (ICC): Communication Theory Symposium. IEEE, pp. 4499-4504. https://doi.org/10.1109/ICC.2015.7249031

APA

Jones, A., Chatzigeorgiou, I., & Tassi, A. (2015). Binary systematic network coding for progressive packet decoding. In IEEE International Conference on Communications (ICC): Communication Theory Symposium (pp. 4499-4504). IEEE. https://doi.org/10.1109/ICC.2015.7249031

Vancouver

Jones A, Chatzigeorgiou I, Tassi A. Binary systematic network coding for progressive packet decoding. In IEEE International Conference on Communications (ICC): Communication Theory Symposium. IEEE. 2015. p. 4499-4504 https://doi.org/10.1109/ICC.2015.7249031

Author

Jones, Andrew ; Chatzigeorgiou, Ioannis ; Tassi, Andrea. / Binary systematic network coding for progressive packet decoding. IEEE International Conference on Communications (ICC): Communication Theory Symposium. IEEE, 2015. pp. 4499-4504

Bibtex

@inproceedings{f5b383da21194ecc83b5244916bdbf0f,
title = "Binary systematic network coding for progressive packet decoding",
abstract = "We consider binary systematic network codes and investigate their capability of decoding a source message either in full or in part. We carry out a probability analysis, derive closed-form expressions for the decoding probability and show that systematic network coding outperforms conventional net- work coding. We also develop an algorithm based on Gaussian elimination that allows progressive decoding of source packets. Simulation results show that the proposed decoding algorithm can achieve the theoretical optimal performance. Furthermore, we demonstrate that systematic network codes equipped with the proposed algorithm are good candidates for progressive packet recovery owing to their overall decoding delay characteristics.",
author = "Andrew Jones and Ioannis Chatzigeorgiou and Andrea Tassi",
note = " {\textcopyright}2015 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2015",
month = jun,
day = "8",
doi = "10.1109/ICC.2015.7249031",
language = "English",
pages = "4499--4504",
booktitle = "IEEE International Conference on Communications (ICC)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Binary systematic network coding for progressive packet decoding

AU - Jones, Andrew

AU - Chatzigeorgiou, Ioannis

AU - Tassi, Andrea

N1 - ©2015 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2015/6/8

Y1 - 2015/6/8

N2 - We consider binary systematic network codes and investigate their capability of decoding a source message either in full or in part. We carry out a probability analysis, derive closed-form expressions for the decoding probability and show that systematic network coding outperforms conventional net- work coding. We also develop an algorithm based on Gaussian elimination that allows progressive decoding of source packets. Simulation results show that the proposed decoding algorithm can achieve the theoretical optimal performance. Furthermore, we demonstrate that systematic network codes equipped with the proposed algorithm are good candidates for progressive packet recovery owing to their overall decoding delay characteristics.

AB - We consider binary systematic network codes and investigate their capability of decoding a source message either in full or in part. We carry out a probability analysis, derive closed-form expressions for the decoding probability and show that systematic network coding outperforms conventional net- work coding. We also develop an algorithm based on Gaussian elimination that allows progressive decoding of source packets. Simulation results show that the proposed decoding algorithm can achieve the theoretical optimal performance. Furthermore, we demonstrate that systematic network codes equipped with the proposed algorithm are good candidates for progressive packet recovery owing to their overall decoding delay characteristics.

U2 - 10.1109/ICC.2015.7249031

DO - 10.1109/ICC.2015.7249031

M3 - Conference contribution/Paper

SP - 4499

EP - 4504

BT - IEEE International Conference on Communications (ICC)

PB - IEEE

ER -