Low-Density Parity-Check Code with Fast Decoding Speed

Low-Density Parity-Check (LDPC) codes received much attention recently due to their capacity-approaching performance. The iterative message-passing algorithm is a widely adopted decoding algorithm for LDPC codes [7]. An important design issue for LDPC codes is designing codes with fast decoding speed while maintaining capacityapproaching performance. In another words, it is desirable that the code can be successfully decoded in few number of decoding iterations, at the same time, achieves a significant portion of the channel capacity. Despite of its importance, this design issue received little attention so far. In this paper, we address this design issue for the case of binary erasure channel. We prove that density-efficient capacity-approaching LDPC codes satisfy a so called “flatness condition”. We show an asymptotic approximation to the number of decoding iterations. Based on these facts, we propose an approximated optimization approach to finding the codes with good decoding speed. We further show that the optimal codes in the sense of decoding speed are “right-concentrated”. That is, the degrees of check nodes concentrate around the average right degree. Index Terms Low-Density Parity-Check Code, Decoding Convergence Time, Density Evolution, Binary Erasure Channel