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Crossover codeword algorithm for iteration control

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Crossover codeword algorithm for iteration control. / Tanriover, Cagri C.; Honary, Bahram.
Vehicular Technology Conference, 2002. Proceedings. VTC 2002-Fall. 2002 IEEE 56th. Vol. 3 Vancouver, Canada: IEEE, 2002. p. 1662-1665.

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

Harvard

Tanriover, CC & Honary, B 2002, Crossover codeword algorithm for iteration control. in Vehicular Technology Conference, 2002. Proceedings. VTC 2002-Fall. 2002 IEEE 56th. vol. 3, IEEE, Vancouver, Canada, pp. 1662-1665. https://doi.org/10.1109/VETECF.2002.1040498

APA

Tanriover, C. C., & Honary, B. (2002). Crossover codeword algorithm for iteration control. In Vehicular Technology Conference, 2002. Proceedings. VTC 2002-Fall. 2002 IEEE 56th (Vol. 3, pp. 1662-1665). IEEE. https://doi.org/10.1109/VETECF.2002.1040498

Vancouver

Tanriover CC, Honary B. Crossover codeword algorithm for iteration control. In Vehicular Technology Conference, 2002. Proceedings. VTC 2002-Fall. 2002 IEEE 56th. Vol. 3. Vancouver, Canada: IEEE. 2002. p. 1662-1665 doi: 10.1109/VETECF.2002.1040498

Author

Tanriover, Cagri C. ; Honary, Bahram. / Crossover codeword algorithm for iteration control. Vehicular Technology Conference, 2002. Proceedings. VTC 2002-Fall. 2002 IEEE 56th. Vol. 3 Vancouver, Canada : IEEE, 2002. pp. 1662-1665

Bibtex

@inproceedings{e56ee3d2f39e40b69518b83a4e63cab6,
title = "Crossover codeword algorithm for iteration control",
abstract = "During iterative decoding, a monotonic increase in the magnitude of the log-likelihood ratios is a sign of convergence to the maximum likelihood solution. When the log-likelihood ratios undergo frequent sign changes during decoding, the decoder generally fails to converge and the number of bit errors within a frame increases. In such cases, little gain is achieved by performing further iterations. Therefore, utilizing iteration termination methods is beneficial for minimizing the decoding latency, and reducing the operational complexity of turbo decoders. The stopping criteria that have been proposed until now are mainly based on the convergence of log-likelihood ratios of the constituent component decoders. In this paper, we propose a new criterion based on the prediction of the number of bit errors in a decoded frame. The iterations are stopped when the bit error rate of the turbo decoder falls below a specified threshold. This technique is found to be particularly effective in the waterfall region.",
author = "Tanriover, {Cagri C.} and Bahram Honary",
year = "2002",
month = sep,
doi = "10.1109/VETECF.2002.1040498",
language = "English",
isbn = "0-7803-7467-3",
volume = "3",
pages = "1662--1665",
booktitle = "Vehicular Technology Conference, 2002. Proceedings. VTC 2002-Fall. 2002 IEEE 56th",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Crossover codeword algorithm for iteration control

AU - Tanriover, Cagri C.

AU - Honary, Bahram

PY - 2002/9

Y1 - 2002/9

N2 - During iterative decoding, a monotonic increase in the magnitude of the log-likelihood ratios is a sign of convergence to the maximum likelihood solution. When the log-likelihood ratios undergo frequent sign changes during decoding, the decoder generally fails to converge and the number of bit errors within a frame increases. In such cases, little gain is achieved by performing further iterations. Therefore, utilizing iteration termination methods is beneficial for minimizing the decoding latency, and reducing the operational complexity of turbo decoders. The stopping criteria that have been proposed until now are mainly based on the convergence of log-likelihood ratios of the constituent component decoders. In this paper, we propose a new criterion based on the prediction of the number of bit errors in a decoded frame. The iterations are stopped when the bit error rate of the turbo decoder falls below a specified threshold. This technique is found to be particularly effective in the waterfall region.

AB - During iterative decoding, a monotonic increase in the magnitude of the log-likelihood ratios is a sign of convergence to the maximum likelihood solution. When the log-likelihood ratios undergo frequent sign changes during decoding, the decoder generally fails to converge and the number of bit errors within a frame increases. In such cases, little gain is achieved by performing further iterations. Therefore, utilizing iteration termination methods is beneficial for minimizing the decoding latency, and reducing the operational complexity of turbo decoders. The stopping criteria that have been proposed until now are mainly based on the convergence of log-likelihood ratios of the constituent component decoders. In this paper, we propose a new criterion based on the prediction of the number of bit errors in a decoded frame. The iterations are stopped when the bit error rate of the turbo decoder falls below a specified threshold. This technique is found to be particularly effective in the waterfall region.

U2 - 10.1109/VETECF.2002.1040498

DO - 10.1109/VETECF.2002.1040498

M3 - Conference contribution/Paper

SN - 0-7803-7467-3

VL - 3

SP - 1662

EP - 1665

BT - Vehicular Technology Conference, 2002. Proceedings. VTC 2002-Fall. 2002 IEEE 56th

PB - IEEE

CY - Vancouver, Canada

ER -