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IEEE Communications Letters

Spatially Coupled LDPC Codes With Small Constraint Length and Low Error Floor

Sima Naseri, Amir H. Banihashemi

Published Nov 26, 2019• 21 citations
Publisher

Abstract

In this letter, we design time-invariant spatially coupled low-density parity-check (SC-LDPC) codes with small constraint length and low error floor. For this, we modify the codes in the literature that have (close to) minimal constraint length for a given degree distribution and girth, to improve their error floor. This is performed by eliminating (or minimizing the multiplicity of) some of the dominant trapping sets (TSs) of the codes and/or increasing the minimum distance. To reduce the multiplicity of the TSs effectively and efficiently, we devise a technique based on the parent/child relationship between TSs that aims at successively minimizing the multiplicity of TSs depending on their harmfulness.

DOI
10.1109/lcomm.2019.2955450

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In this letter, we design time-invariant spatially coupled low-density parity-check (SC-LDPC) codes with small constraint length and low error floor. For this, we modify the codes in the literature that have (close to) minimal constraint length for a given degree distribution and girth, to improve their error floor. This is performed by eliminating (or minimizing the multiplicity of) some of the dominant trapping sets (TSs) of the codes and/or increasing the minimum distance. To reduce the multiplicity of the TSs effectively and efficiently, we devise a technique based on the parent/child relationship between TSs that aims at successively minimizing the multiplicity of TSs depending on their harmfulness.
In this paper, we propose a design technique for the construction of variable-regular time-invariant spatially-coupled low-density parity-check (SC-LDPC) codes with small constraint length and low error floor. The proposed technique reduces the error floor by imposing simple constraints on the short cycles in the code's Tanner graph, which in turn, result in the elimination of the most dominant trapping sets of the code. In some cases, we also derive lower bounds on the syndrome former memory for satisfying such constraints. The designed codes are superior to the state-of-the-art in terms of error floor performance and/or decoding complexity and latency.
Forward error-correcting (FEC) codes play an important role in transmitting data with extremely high reliability through modern communication systems.Many applications such as optical communication channels require a very low error rate when transmitting data.In this thesis, we study the design and analysis of low-density parity-check (LDPC) codes in general and spatially coupled (SC) LDPC codes in particular.At first, we analyze the error floor performance of finite-length protographbased spatially coupled LDPC codes in terms of their design parameters.We conduct a comprehensive analysis to show that the parameter syndrome former memory (m) plays the main role in the average number of cycles and trapping sets in the Tanner graph of finite-length SC-LDPC codes.This, in fact, gives an insight into the error floor performance of protograph-based SC-LDPC codes, and demonstrates the superiority of these codes in the error floor region, compared to their block code counterparts.To complement the theoretical analysis conducted in the first stage of this research, we develop efficient design techniques for the construction of high-performance quasi-cyclic (QC)-LDPC and SC-LDPC codes, as the second part of the research.Our design approach is basically aimed at improving the performance of finite-length (SC) LDPC codes while maintaining the decoder complexity and latency small.The improvement in error floor is achieved by minimizing (elimination of) the most harmful trapping set (TS)s.In this regard, we present two design approaches: i) imposing simple conditions on the small cycles to result in the elimination of specific classes of trapping sets, ii) developing a search-based design technique such that specific trapping sets are targeted for minimization/elimination through the algorithm.Our constructed QC-LDPC and time-invariant SC-LDPC codes are superior to the stateof-the-art both in terms of their error floor performance and their low decoding latency and complexity.Finally, we look into the design of finite-length time-invariant QC SC-LDPC codes iii I would like to take this opportunity to express my sincere gratitude to my supervisor, Prof. Amir H. Banihashemi, for his invaluable guidance, continuous support and excellent mentorship during the course of my PhD studies.His immense knowledge and supervision always steered me to the right direction during this journey.Besides my supervisor, I would like to thank my committee members for their helpful comments and feedback on this thesis, and for their generosity in contributing their time to serve on my dissertation defense.I would like to mention the government of Ontario in acknowledgment of the Ontario Trillium Scholarship which pledged an ample
Low-density parity-check with Length-compatible and low error floors (LDPC-LCLEF) on the binary symmetric channel is presented in this paper. These codes can support a wide range of lengths for a given rate and also the Tanner graphs are free of small trapping sets. This can be obtained by applying the schemes of shortening and puncturing to good LDPC codes and the trapping sets are selected using the trapping set ontology based on their relative harmfulness for the given decoding algorithm. The conventional approach does not guarantee to have a good performance as the degree distributions may be wildly varied. In this paper, a modified algorithm is presented to generate LDPC codes of a given rate with almost their degree distributions are same as the mother code degree distribution. Also the relative harmfulness for different trapping sets are evaluated and decoding failures of one trapping set in presence or absence of other trapping sets are analyzed. To facilitate this discussion, a new description of structured LDPC codes with arrays of permutation matrices as parity-check matrices is given. Numerical results show that the LDPC code constructed by this approach performed much better than the conventional approach.
We consider a special family of spatially coupled low-density parity-check (SC-LDPC) codes, that is, time-invariant low-density parity-check convolutional (LDPCC) codes, which are known in the literature for a long time. Codes of this kind are usually designed by starting from quasi-cyclic (QC) block codes, and applying suitable unwrapping procedures. We show that, by directly designing the LDPCC code syndrome former matrix without the constraints of the underlying QC block code, it is possible to achieve smaller constraint lengths with respect to the best solutions available in the literature. We also find theoretical lower bounds on the syndrome former constraint length for codes with a specified minimum length of the local cycles in their Tanner graphs. For this purpose, we exploit a new approach based on a numerical representation of the syndrome former matrix, which generalizes over a technique we already used to study a special subclass of the codes here considered.