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Comparison of convolutional and turbo coding schemes for broadband FWA systems

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Comparison of convolutional and turbo coding schemes for broadband FWA systems. / Chatzigeorgiou, Ioannis; Rodrigues, Miguel R. D.; Wassell, Ian J. et al.
In: IEEE Transactions on Broadcasting, Vol. 53, No. 2, 06.2007, p. 494-503.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Chatzigeorgiou, I, Rodrigues, MRD, Wassell, IJ & Carrasco, R 2007, 'Comparison of convolutional and turbo coding schemes for broadband FWA systems', IEEE Transactions on Broadcasting, vol. 53, no. 2, pp. 494-503. https://doi.org/10.1109/TBC.2007.893387

APA

Chatzigeorgiou, I., Rodrigues, M. R. D., Wassell, I. J., & Carrasco, R. (2007). Comparison of convolutional and turbo coding schemes for broadband FWA systems. IEEE Transactions on Broadcasting, 53(2), 494-503. https://doi.org/10.1109/TBC.2007.893387

Vancouver

Chatzigeorgiou I, Rodrigues MRD, Wassell IJ, Carrasco R. Comparison of convolutional and turbo coding schemes for broadband FWA systems. IEEE Transactions on Broadcasting. 2007 Jun;53(2):494-503. doi: 10.1109/TBC.2007.893387

Author

Chatzigeorgiou, Ioannis ; Rodrigues, Miguel R. D. ; Wassell, Ian J. et al. / Comparison of convolutional and turbo coding schemes for broadband FWA systems. In: IEEE Transactions on Broadcasting. 2007 ; Vol. 53, No. 2. pp. 494-503.

Bibtex

@article{42a74cacb8de43a289a3f5c71eb74f62,
title = "Comparison of convolutional and turbo coding schemes for broadband FWA systems",
abstract = "It has been demonstrated that turbo codes substantially outperform other codes, e.g., convolutional codes, both in the non-fading additive white Gaussian noise (AWGN) channel as well as multiple-transmit and multiple-receive antenna fading channels. Moreover, it has also been reported that turbo codes perform very well in fast fading channels, but perform somewhat poorly on slow and block fading channels of which the broadband fixed wireless access (FWA) channel is an example. In this paper, we thoroughly compare the performance of turbo-coded and convolutional-coded broadband FWA systems both with and without antenna diversity under the condition of identical complexity for a variety of decoding algorithms. In particular, we derive mathematical expressions to characterize the complexity of turbo decoding based on state-of-the-art Log-MAP and Max-Log-MAP algorithms as well as convolutional decoding based on the Viterbi algorithm in terms of the number of equivalent addition operations. Simulation results show that turbo codes do not offer any performance advantage over convolutional codes in FWA systems without antenna diversity or FWA systems with limited antenna diversity. Indeed, turbo codes only outperform convolutional codes in FWA systems having significant antenna diversity.",
keywords = "Algorithms, communication system performance , complexity theory , concatenated coding , convolutional codes , decoding , fading channels , iterative methods , trellis codes",
author = "Ioannis Chatzigeorgiou and Rodrigues, {Miguel R. D.} and Wassell, {Ian J.} and Rolando Carrasco",
year = "2007",
month = jun,
doi = "10.1109/TBC.2007.893387",
language = "English",
volume = "53",
pages = "494--503",
journal = "IEEE Transactions on Broadcasting",
issn = "0018-9316",
publisher = "IEEE",
number = "2",

}

RIS

TY - JOUR

T1 - Comparison of convolutional and turbo coding schemes for broadband FWA systems

AU - Chatzigeorgiou, Ioannis

AU - Rodrigues, Miguel R. D.

AU - Wassell, Ian J.

AU - Carrasco, Rolando

PY - 2007/6

Y1 - 2007/6

N2 - It has been demonstrated that turbo codes substantially outperform other codes, e.g., convolutional codes, both in the non-fading additive white Gaussian noise (AWGN) channel as well as multiple-transmit and multiple-receive antenna fading channels. Moreover, it has also been reported that turbo codes perform very well in fast fading channels, but perform somewhat poorly on slow and block fading channels of which the broadband fixed wireless access (FWA) channel is an example. In this paper, we thoroughly compare the performance of turbo-coded and convolutional-coded broadband FWA systems both with and without antenna diversity under the condition of identical complexity for a variety of decoding algorithms. In particular, we derive mathematical expressions to characterize the complexity of turbo decoding based on state-of-the-art Log-MAP and Max-Log-MAP algorithms as well as convolutional decoding based on the Viterbi algorithm in terms of the number of equivalent addition operations. Simulation results show that turbo codes do not offer any performance advantage over convolutional codes in FWA systems without antenna diversity or FWA systems with limited antenna diversity. Indeed, turbo codes only outperform convolutional codes in FWA systems having significant antenna diversity.

AB - It has been demonstrated that turbo codes substantially outperform other codes, e.g., convolutional codes, both in the non-fading additive white Gaussian noise (AWGN) channel as well as multiple-transmit and multiple-receive antenna fading channels. Moreover, it has also been reported that turbo codes perform very well in fast fading channels, but perform somewhat poorly on slow and block fading channels of which the broadband fixed wireless access (FWA) channel is an example. In this paper, we thoroughly compare the performance of turbo-coded and convolutional-coded broadband FWA systems both with and without antenna diversity under the condition of identical complexity for a variety of decoding algorithms. In particular, we derive mathematical expressions to characterize the complexity of turbo decoding based on state-of-the-art Log-MAP and Max-Log-MAP algorithms as well as convolutional decoding based on the Viterbi algorithm in terms of the number of equivalent addition operations. Simulation results show that turbo codes do not offer any performance advantage over convolutional codes in FWA systems without antenna diversity or FWA systems with limited antenna diversity. Indeed, turbo codes only outperform convolutional codes in FWA systems having significant antenna diversity.

KW - Algorithms

KW - communication system performance

KW - complexity theory

KW - concatenated coding

KW - convolutional codes

KW - decoding

KW - fading channels

KW - iterative methods

KW - trellis codes

U2 - 10.1109/TBC.2007.893387

DO - 10.1109/TBC.2007.893387

M3 - Journal article

VL - 53

SP - 494

EP - 503

JO - IEEE Transactions on Broadcasting

JF - IEEE Transactions on Broadcasting

SN - 0018-9316

IS - 2

ER -