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IEEE Transactions on Communications

Doubly Generalized LDPC Codes over the AWGN Channel

Yige Wang, M.P.C. Fossorier

Published May 1, 2009• 26 citations
Publisher

Abstract

In this paper, the design of doubly generalized low-density parity-check (DGLDPC) codes is proposed. This approach generalizes the structure of LDPC codes at both check and variable nodes. The performance of DGLDPC codes over the AWGN channel is analyzed using EXIT charts. Combined with differential evolution optimization, this analysis provides thresholds for DGLDPC codes that are better than that of LDPC and GLDPC codes with the same maximum variable degree. These theoretical thresholds are verified via simulations. Furthermore DGLDPC codes exhibit a lower error floor compared with their LDPC and GLDPC counterparts.

DOI
10.1109/tcomm.2009.05.070264

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In this paper, the design of doubly generalized low-density parity-check (DGLDPC) codes is proposed. This approach generalizes the structure of LDPC codes at both check and variable nodes. The performance of DGLDPC codes over the AWGN channel is analyzed using EXIT charts. Combined with differential evolution optimization, this analysis provides thresholds for DGLDPC codes that are better than that of LDPC and GLDPC codes with the same maximum variable degree. These theoretical thresholds are verified via simulations. Furthermore DGLDPC codes exhibit a lower error floor compared with their LDPC and GLDPC counterparts.
Finding coding schemes that approach the Shannon capacity limit has been the central theme during the development of error-control coding (ECC).In recent years low-density parity-check (LDPC) codes, due to their remarkable performance under iterative decoding, have received extensive study and have been adopted by many modern advanced communication systems.LDPC codes can be further extended to generalized LDPC (GLDPC) codes and doublygeneralized LDPC (DGLDPC) codes.GLDPC and DGLDPC codes are supersets of LDPC codes that possess more generic code structures.GLDPC and DGLDPC codes are more flexible than LDPC codes, since a richer variety of check nodes (CNs) or variable nodes (VNs) offers additional options and flexibility, which enable many advantages over LDPC codes in numerous scenarios.In this dissertation we focus on improved design methods for finite-length (FL) GLDPC and DGLDPC codes.The first research topic is the error floor behavior of FL-GLDPC and FL-DGLDPC codes.In GLDPC and DGLDPC codes, the existence of generalized CNs and VNs requires more careful management of edge connections for achieving low error floors.In this work the approximate cycle extrinsic message degree (ACE), a cycle parameter used in LDPC codes that reflects the resilience of the cycle to the noise, is generalized to extended ACE (eACE) for GLDPC and DGLDPC codes.By integrating eACE into the progressive-edge-growth (PEG) algorithm and adding more constraints on the connectivity of nodes, the error floor performance of GLDPC and DGLDPC codes can be greatly improved.In practice, designing codes capable of fast encoding is an important issue.Efficiently-encodable (EE) GLDPC and DGLDPC codes are studied and a self-consistent unified framework is proposed for constructing EE iteratively-decodable block codes, including EE-LDPC, EE-GLDPC and EE-DGLDPC codes.The competing nature of the fast encoding speed and the low error floor performance iv Abstract v is analyzed and verified via various simulation results.EE codes are systematic and suitable for puncturing; therefore, they are good candidates for rate-compatible (RC) data transmissions.Based on the characteristics of GLDPC and DGLDPC codes, we devise several systematic puncturing algorithms to provide good puncturing patterns for them.It is shown that we can significantly improve the code performance compared with random puncturing.Over a wide range of code rates, RC EE-GLDPC and EE-DGLDPC codes show advantages over EE-LDPC codes, especially at high signal-to-noise ratios (SNRs).
We introduce a class of structured (protograph-based) doubly generalized low-density parity-check (DGLDPC) codes. The proposed class leads to quasi-cyclic codes for which efficient encoder and decoder implementations are possible. In particular, we illustrate that on the additive white Gaussian noise (AWGN) channel, the introduced structured DGLDPC codes do not lose in performance with respect to unstructured DGLDPC codes. Furthermore, a sufficient condition on the code graph is derived, which allows unveiling the quasi-cyclic nature of the designed codes.
Protograph doubly-generalized low-density parity-check (DGLDPC) codes, which allow for arbitrary component codes at the variable and check nodes of a protograph, are considered. Exact density evolution is derived over the binary erasure channel. Conditions on the protograph and component codes to ensure equality of block-error threshold and density evolution threshold for large-girth ensembles are established. Conditions for stability of density evolution are derived, and block-error threshold property is extended to binary-input symmetric channels. Optimized low-rate protographs for DGLDPC codes over the erasure channel are presented.
A class of doubly-generalized low-density parity-check (D-GLDPC) codes, where single parity-check (SPC) codes are used as variable nodes (VNs), is investigated. An expression for the growth rate of the weight distribution of any D-GLDPC ensemble with a uniform check node (CN) set is presented at first, together with an analytical technique for its efficient evaluation. These tools are then used for detailed analysis of a case study, namely, a rate-1/2 D-GLDPC ensemble where all the CNs are (7, 4) Hamming codes and all the VNs are length-7 SPC codes. It is illustrated how the VN representations can heavily affect the code properties and how different VN representations can be combined within the same graph to enhance some of the code parameters. The analysis is conducted over the binary erasure channel. Interesting features of the new codes include the capability of achieving a good compromise between waterfall and error floor performance while preserving graphical regularity, and values of threshold outperforming LDPC counterparts.
Ensemble design of low-density parity-check (LDPC) codes and their generalizations is usually performed via numerical optimization techniques, such as differential evolution, in which a threshold analysis tool is always necessary. Threshold analysis of unstructured doubly-generalized LDPC (D-GLDPC) code ensembles over the binary erasure channel (BEC) can be performed via extrinsic information transfer (EXIT) chart, exploiting the information functions and split information functions of the check and variable component codes, respectively. In this paper, multi-type information functions of linear block codes are introduced as an extension of the concept of information functions, when the bit positions are assumed to be associated with different types. It is shown how multi-type information functions (together with their split counterparts) can be exploited within an EXIT analysis approach to perform threshold analysis over the BEC of multi-edge type D-GLDPC code ensembles. The proposed technique for threshold analysis captures D-GLDPC codes based on protographs as a special case.
Protograph low-density-parity-check (LDPC) codes are considered to design near-capacity low-rate codes over the binary erasure channel and the binary additive white Gaussian noise channel. For protographs with degree-one variable nodes and doubly-generalized LDPC (DGLDPC) codes, conditions are derived to ensure the equality of bit-error threshold and block-error threshold. Using this condition, low-rate codes with block-error threshold close to capacity are designed and shown to have better error rate performance than other existing codes.