Generalized best-first search strategies and the optimality of A*
Journal of the ACM (JACM)
Modern Coding Theory
Analysis of sum-product decoding of low-density parity-check codes using a Gaussian approximation
IEEE Transactions on Information Theory
Rate-compatible puncturing of low-density parity-check codes
IEEE Transactions on Information Theory
Regular and irregular progressive edge-growth tanner graphs
IEEE Transactions on Information Theory
Rate-compatible punctured low-density parity-check codes with short block lengths
IEEE Transactions on Information Theory
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In this paper, we introduce a novel criterion to rank puncturing patterns for rate-compatible LDPC codes. Specifically, based on Gaussian approximation density evolution, a cost function is devised to characterize the degree distribution of the punctured code matrices, which are derived from a mother code matrix by matrix transformation. This cost function allows us to effectively compare the expected performance of candidate puncturing patterns and to sort out good ones. Combined with well-designed search algorithms, the proposed criterion can be applied on both standardized Block-LDPC codes and generic binary LDPC codes to get good puncturing patterns with manageable complexity. Numerical simulation results verify the effectiveness of the proposed ranking criterion, and demonstrate that a series of good rate-compatible LDPC codes can be obtained by the proposed ranking criterion.