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Rank metric decoder architectures for random linear network coding with error control.

Chen, Ning and Yan, Zhiyuan and Gadouleau, Maximilien and Wang, Ying and Suter, Bruce W. (2012) 'Rank metric decoder architectures for random linear network coding with error control.', IEEE transactions on very large scale integration (VLSI) systems., 20 (2). pp. 296-309.

Abstract

While random linear network coding is a powerful tool for disseminating information in communication networks, it is highly susceptible to errors caused by various sources. Due to error propagation, errors greatly deteriorate the throughput of network coding and seriously undermine both reliability and security of data. Hence, error control for network coding is vital. Recently, constant-dimension codes (CDCs), especially Kötter-Kschischang (KK) codes, have been proposed for error control in random linear network coding. KK codes can also be constructed from Gabidulin codes, an important class of rank metric codes. Rank metric decoders have been recently proposed for both Gabidulin and KK codes, but they have high computational complexities. Furthermore, it is not clear whether such decoders are feasible and suitable for hardware implementations. In this paper, we reduce the complexities of rank metric decoders and propose novel decoder architectures for both codes. The synthesis results of our decoder architectures for Gabidulin and KK codes with limited error-correcting capabilities over small fields show that our architectures not only are affordable, but also achieve high throughput.

Item Type:Article
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:http://dx.doi.org/10.1109/TVLSI.2010.2096239
Publisher statement:© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Date accepted:No date available
Date deposited:05 February 2016
Date of first online publication:February 2012
Date first made open access:No date available

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