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Decoding delay performance of random linear network coding for broadcast

Research output: Contribution to journalJournal article

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Decoding delay performance of random linear network coding for broadcast. / Chatzigeorgiou, Ioannis; Tassi, Andrea.

In: IEEE Transactions on Vehicular Technology, Vol. 66, No. 8, 08.2017, p. 7050-7060.

Research output: Contribution to journalJournal article

Harvard

Chatzigeorgiou, I & Tassi, A 2017, 'Decoding delay performance of random linear network coding for broadcast', IEEE Transactions on Vehicular Technology, vol. 66, no. 8, pp. 7050-7060. https://doi.org/10.1109/TVT.2017.2670178

APA

Vancouver

Author

Chatzigeorgiou, Ioannis ; Tassi, Andrea. / Decoding delay performance of random linear network coding for broadcast. In: IEEE Transactions on Vehicular Technology. 2017 ; Vol. 66, No. 8. pp. 7050-7060.

Bibtex

@article{aff8834edf4147d89b58009db7749afe,
title = "Decoding delay performance of random linear network coding for broadcast",
abstract = "Characterization of the delay profile of systems employing random linear network coding is important for the reliable provision of broadcast services. Previous studies focused on network coding over large finite fields or developed Markov chains to model the delay distribution but did not look at the effect of transmission deadlines on the delay. In this work, we consider generations of source packets that are encoded and transmitted over the erasure broadcast channel. The transmission of packets associated to a generation is taken to be deadline-constrained, that is, the transmitter drops a generation and proceeds to the next one when a predetermined deadline expires. Closed-form expressions for the average number of required packet transmissions per generation are obtained in terms of the generation size, the field size, the erasure probability and the deadline choice. An upper bound on the average decoding delay, which is tighter than previous bounds found in the literature, is also derived. Analysis shows that the proposed framework can be used to fine-tune the system parameters and ascertain that neither insufficient nor excessive amounts of packets are sent over the broadcast channel.",
author = "Ioannis Chatzigeorgiou and Andrea Tassi",
note = "{\textcopyright}2017 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 = "2017",
month = aug
doi = "10.1109/TVT.2017.2670178",
language = "English",
volume = "66",
pages = "7050--7060",
journal = "IEEE Transactions on Vehicular Technology",
issn = "0018-9545",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "8",

}

RIS

TY - JOUR

T1 - Decoding delay performance of random linear network coding for broadcast

AU - Chatzigeorgiou, Ioannis

AU - Tassi, Andrea

N1 - ©2017 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 - 2017/8

Y1 - 2017/8

N2 - Characterization of the delay profile of systems employing random linear network coding is important for the reliable provision of broadcast services. Previous studies focused on network coding over large finite fields or developed Markov chains to model the delay distribution but did not look at the effect of transmission deadlines on the delay. In this work, we consider generations of source packets that are encoded and transmitted over the erasure broadcast channel. The transmission of packets associated to a generation is taken to be deadline-constrained, that is, the transmitter drops a generation and proceeds to the next one when a predetermined deadline expires. Closed-form expressions for the average number of required packet transmissions per generation are obtained in terms of the generation size, the field size, the erasure probability and the deadline choice. An upper bound on the average decoding delay, which is tighter than previous bounds found in the literature, is also derived. Analysis shows that the proposed framework can be used to fine-tune the system parameters and ascertain that neither insufficient nor excessive amounts of packets are sent over the broadcast channel.

AB - Characterization of the delay profile of systems employing random linear network coding is important for the reliable provision of broadcast services. Previous studies focused on network coding over large finite fields or developed Markov chains to model the delay distribution but did not look at the effect of transmission deadlines on the delay. In this work, we consider generations of source packets that are encoded and transmitted over the erasure broadcast channel. The transmission of packets associated to a generation is taken to be deadline-constrained, that is, the transmitter drops a generation and proceeds to the next one when a predetermined deadline expires. Closed-form expressions for the average number of required packet transmissions per generation are obtained in terms of the generation size, the field size, the erasure probability and the deadline choice. An upper bound on the average decoding delay, which is tighter than previous bounds found in the literature, is also derived. Analysis shows that the proposed framework can be used to fine-tune the system parameters and ascertain that neither insufficient nor excessive amounts of packets are sent over the broadcast channel.

U2 - 10.1109/TVT.2017.2670178

DO - 10.1109/TVT.2017.2670178

M3 - Journal article

VL - 66

SP - 7050

EP - 7060

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

SN - 0018-9545

IS - 8

ER -