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Comparison of convolutional and turbo coding schemes for broadband FWA systems

Chatzigeorgiou, Ioannis and Rodrigues, Miguel R. D. and Wassell, Ian J. and Carrasco, Rolando (2007) Comparison of convolutional and turbo coding schemes for broadband FWA systems. IEEE Transactions on Broadcasting, 53 (2). pp. 494-503. ISSN 0018-9316

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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.

Item Type: Article
Journal or Publication Title: IEEE Transactions on Broadcasting
Uncontrolled Keywords: Algorithms ; communication system performance ; complexity theory ; concatenated coding ; convolutional codes ; decoding ; fading channels ; iterative methods ; trellis codes
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 49535
Deposited By: ep_importer_pure
Deposited On: 24 Aug 2011 16:29
Refereed?: Yes
Published?: Published
Last Modified: 17 Sep 2013 08:26
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/49535

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