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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  4/2014 - 6

Performance Analysis of Turbo-Coded Decode-and-Forward Relay Channels with Middleton Class-A Impulsive Noise

ANDREI, M. See more information about ANDREI, M. on SCOPUS See more information about ANDREI, M. on IEEExplore See more information about ANDREI, M. on Web of Science, TRIFINA, L. See more information about  TRIFINA, L. on SCOPUS See more information about  TRIFINA, L. on SCOPUS See more information about TRIFINA, L. on Web of Science, TARNICERIU, D. See more information about TARNICERIU, D. on SCOPUS See more information about TARNICERIU, D. on SCOPUS See more information about TARNICERIU, D. on Web of Science
 
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Download PDF pdficon (803 KB) | Citation | Downloads: 608 | Views: 2,650

Author keywords
decode-and-forward, impulsive noise, iterative decoder, relay channels, turbo codes

References keywords
communications(9), turbo(6), noise(6), cooperative(6), channel(6), relay(5), performance(4), impulsive(4), decode(4), coded(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-11-30
Volume 14, Issue 4, Year 2014, On page(s): 35 - 42
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.04006
Web of Science Accession Number: 000348772500006
SCOPUS ID: 84921649589

Abstract
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Relays are used to improve wireless network performances. In this paper, the decode-and-forward relaying technique is used to achieve spatial diversity. We considered a system with a symmetric turbo coded relay and its three channels (source-relay, source-destination and relay-destination) affected by impulsive noise. The statistic model used for noise was Middleton additive white Class-A. The performances are evaluated by investigating the system behavior when at destination the traditional iterative decoder and the heuristically modified iterative decoder proposed by Huynh are used. The simulations were made for different parameter values of the noise model and they showed that in high impulsive noise conditions, the relay system offers better performance than the direct link. However, when the source-destination channel is weak, the traditional iterative decoder assures an additional gain than the heuristically modified one. When the Gaussian component is dominant, the relay system ensures better performances, but only at high values of Signal-to-Noise Ratio. In this case, the heuristically modified decoder, with conveniently chosen value for alpha, is better than the traditional one in terms of bit error rate.


References | Cited By  «-- Click to see who has cited this paper

[1] V. Tarokh, N. Seshadri and A.R. Calderbank, "Space-time codes for high data tare wireless commnunication: Performance criterion and code construction", IEEE Transactions Information Theory, vol. 44, no. 2, pp. 744-765, March 1998.
[CrossRef] [Web of Science Times Cited 5007]


[2] A. Nosratinia, T.E. Hunter and A. Hedayat, "Cooperative communication in wireless networks", IEEE Communications Magazine, vol. 42, no.10, pp. 74-80, Oct. 2004.
[CrossRef] [Web of Science Times Cited 1894]


[3] K.J.R. Liu, A.K. Sadek, W. Su and A. Kwasinski, Cooperative Communications and Networking, Cambridge University Press, Cambridge, 2009.

[4] M. Ju and L.-M. Kim, "Error Performance analysis of BPSK Modulation in Psysical-Layer Network-Coded Bidirectional Relay Networks", IEEE Transactions on Communications, vol. 58, no. 10, pp. 2770-2775, Oct. 2010.
[CrossRef] [Web of Science Times Cited 107]


[5] S. Ghadimi, J. Hussian, T. S. Sidhu, S. Primak, "Effect of Impulse Noise on Wireless Relay Channel", Wireless Sensor Network, vol. 4, no.6, pp. 167-172, June 2012.
[CrossRef]


[6] J. N. Laneman, Cooperative diversity in wireless networks: Algorithms and architectures, pp. 79-109, PhD Thesis, Massachusetts Institute of Technology, Cambrige, M.A., Aug. 2002.

[7] B. Zhao and M.C. Valenti, "Distributed turbo coded diversity for relay channel", Electronics Letters, vol. 39, no. 10, pp. 786-787, May 2003.
[CrossRef] [Web of Science Times Cited 260]


[8] K. Ho Van and T. Le-Ngoc, "Performance of Decode-and-Forward Cooperative Relaying over Rayleigh Fading Channels with Impulsive Noise", in Proc. International Conference on Advanced Technologies for Communications (ATC), pp. 183-188, Oct. 2010.
[CrossRef]


[9] H. Van Khuong and T. Le-Ngoc, "Effect of Impulsive Noise on Decode-and-Forward Cooperative Relaying over Fading Channel", in Proc. IEEE Wireless Communications and Networking Conference (WCNC), pp. 1392-1397, March 2011.
[CrossRef]


[10] S. Al-Dharrab and M. Uysal, "Cooperative Diversity in the Presence of Impulsive Noise", IEEE Transactions on Wireless Communications, vol. 8, no. 9, pp. 4730-4739, Sept. 2009.
[CrossRef]


[11] K.Q. Huynh and A. Tor, "Improved Iterative Decoders for Turbo-Coded Decode-and-Forward Relay Channels", in Proc. IEEE Vehicular Technology Conference (VTC Fall) , Sept. 2012.
[CrossRef]


[12] D. Umehara, H. Yamaguchi and Y. Morihiro, "Turbo Decoding over Impulse Noise Channel", International Symposium on Power Line Communications ISPLC 2004, Zaragosa, Spain, 2004.

[13] N. Andreadou and F.-N. Pavlidou, "PLC Channel: Impulsive Noise Modeling and Its Performance Evaluation Under Different Array Coding Schemes", IEEE Transactions on Power Delivery, vol. 24, no. 2, pp. 585-595, April 2009.
[CrossRef] [Web of Science Times Cited 41]


[14] A. Savin and L. Trifina, "Component Recursive Systematic Convolutional Code Analysis in a Symetric Turbo-Coded Decode-and-Forward Relay Channel", Bulletin of the Polytechnic Institute of Jassy. Electrical Engineering, Power Engineering, Electronics, vol. LIX (LXIII), no. 2, pp. 35-44, 2013.

[15] L.R. Bahl, J. Cocke, F. Jelinek and J. Raviv, "Optimal Decoding of Linear Codes for Minimizing Symbol Error Rate", IEEE Transactions on Information Theory, vol. 20, nr. 2, pp. 284-287, March 1974.
[CrossRef]


[16] P. Robertson, E. Villebrun and P. Hoecher, "A Comparison of Optimal and Sub-Optimal MAP Decoding Algorithms Operating in the Log Domain", in Proc. IEEE International Conference on Communications ICC'95, Seattle, WA., vol. 2, pp. 1009-1013, June 1995.
[CrossRef]


[17] J. Vogt and A. Finger, "Improving the max-log-MAP turbo decoder", Electronics Letters, vol. 36, no. 23, pp. 1937-1939, Nov. 2000.
[CrossRef] [Web of Science Times Cited 180]


[18] D. Divsalar and F. Pollara, "Turbo Codes for PCS Applications", in Proc. IEEE International Conference on Communications ICC'95, Seattle, WA., vol. 1, pp. 54-59, June 1995.
[CrossRef]




References Weight

Web of Science® Citations for all references: 7,489 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 394 ACR
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-03-26 16:36 in 80 seconds.




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