Fast simulation of turbo codes over AWGN channels

Upul Gunawardana; Kim Chi Nguyen; Ranjith Liyanapathirana; Eryk Dutkiewicz; Y. Jay Guo

Fast simulation of turbo codes over AWGN channels

Upul Gunawardana
, Kim Chi Nguyen
, Ranjith Liyanapathirana
, Eryk Dutkiewicz
, Y. Jay Guo

School of Engineering, Design & Built Environment

Research output: Chapter in Book / Conference Paper › Conference Paper

Abstract

In this paper, we illustrate the use of importance sampling (IS) for efficient simulation of Turbo Codes over additive white Gaussian noise (AWGN) channels. In particular, we show how to bias the probability density function (pdf) of the AWGN process using the most probable error path (MPEP) method in order to maximize the computational efficiency gain. The new noise pdf is designed based on the optimal biased distribution where zero variance estimator can be achieved. It is demonstrated that the proposed method requires much smaller sample sizes to achieve the same accuracy required by a conventional MC estimator.

Original language	English
Title of host publication	ISCIT 2007 : 2007 International Symposium on Communications and Information Technologies : Proceedings : 16-19 October 2007, Crowne Plaza Hotel, Darling Harbour, Sydney, Australia
Publisher	IEEE Press
Number of pages	6
ISBN (Print)	1424409772
Publication status	Published - 2007
Event	International Symposium on Communications and Information Technologies - Duration: 2 Oct 2012 → …

Conference

Conference	International Symposium on Communications and Information Technologies
Period	2/10/12 → …

Keywords

AWGN channels
turbo codes
probability density function
Monte Carlo method
wireless communication systems

Cite this

@inproceedings{95cc4f9d1b194feead97029047dc1738,

title = "Fast simulation of turbo codes over AWGN channels",

abstract = "In this paper, we illustrate the use of importance sampling (IS) for efficient simulation of Turbo Codes over additive white Gaussian noise (AWGN) channels. In particular, we show how to bias the probability density function (pdf) of the AWGN process using the most probable error path (MPEP) method in order to maximize the computational efficiency gain. The new noise pdf is designed based on the optimal biased distribution where zero variance estimator can be achieved. It is demonstrated that the proposed method requires much smaller sample sizes to achieve the same accuracy required by a conventional MC estimator.",

keywords = "AWGN channels, turbo codes, probability density function, Monte Carlo method, wireless communication systems",

author = "Upul Gunawardana and Nguyen, \{Kim Chi\} and Ranjith Liyanapathirana and Eryk Dutkiewicz and Guo, \{Y. Jay\}",

year = "2007",

language = "English",

isbn = "1424409772",

booktitle = "ISCIT 2007 : 2007 International Symposium on Communications and Information Technologies : Proceedings : 16-19 October 2007, Crowne Plaza Hotel, Darling Harbour, Sydney, Australia",

publisher = "IEEE Press",

note = "International Symposium on Communications and Information Technologies ; Conference date: 02-10-2012",

}

Gunawardana, U, Nguyen, KC, Liyanapathirana, R, Dutkiewicz, E & Guo, YJ 2007, Fast simulation of turbo codes over AWGN channels. in ISCIT 2007 : 2007 International Symposium on Communications and Information Technologies : Proceedings : 16-19 October 2007, Crowne Plaza Hotel, Darling Harbour, Sydney, Australia. IEEE Press, International Symposium on Communications and Information Technologies, 2/10/12.

Fast simulation of turbo codes over AWGN channels. / Gunawardana, Upul; Nguyen, Kim Chi; Liyanapathirana, Ranjith et al.
ISCIT 2007 : 2007 International Symposium on Communications and Information Technologies : Proceedings : 16-19 October 2007, Crowne Plaza Hotel, Darling Harbour, Sydney, Australia. IEEE Press, 2007.

Research output: Chapter in Book / Conference Paper › Conference Paper

TY - GEN

T1 - Fast simulation of turbo codes over AWGN channels

AU - Gunawardana, Upul

AU - Nguyen, Kim Chi

AU - Liyanapathirana, Ranjith

AU - Dutkiewicz, Eryk

AU - Guo, Y. Jay

PY - 2007

Y1 - 2007

N2 - In this paper, we illustrate the use of importance sampling (IS) for efficient simulation of Turbo Codes over additive white Gaussian noise (AWGN) channels. In particular, we show how to bias the probability density function (pdf) of the AWGN process using the most probable error path (MPEP) method in order to maximize the computational efficiency gain. The new noise pdf is designed based on the optimal biased distribution where zero variance estimator can be achieved. It is demonstrated that the proposed method requires much smaller sample sizes to achieve the same accuracy required by a conventional MC estimator.

AB - In this paper, we illustrate the use of importance sampling (IS) for efficient simulation of Turbo Codes over additive white Gaussian noise (AWGN) channels. In particular, we show how to bias the probability density function (pdf) of the AWGN process using the most probable error path (MPEP) method in order to maximize the computational efficiency gain. The new noise pdf is designed based on the optimal biased distribution where zero variance estimator can be achieved. It is demonstrated that the proposed method requires much smaller sample sizes to achieve the same accuracy required by a conventional MC estimator.

KW - AWGN channels

KW - turbo codes

KW - probability density function

KW - Monte Carlo method

KW - wireless communication systems

UR - http://handle.uws.edu.au:8081/1959.7/40705

M3 - Conference Paper

SN - 1424409772

BT - ISCIT 2007 : 2007 International Symposium on Communications and Information Technologies : Proceedings : 16-19 October 2007, Crowne Plaza Hotel, Darling Harbour, Sydney, Australia

PB - IEEE Press

T2 - International Symposium on Communications and Information Technologies

Y2 - 2 October 2012

ER -

Fast simulation of turbo codes over AWGN channels

Abstract

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Keywords

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