2019
DOI: 10.1109/tcomm.2018.2889850
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Design of Irregular SC-LDPC Codes With Non-Uniform Degree Distributions by Linear Programming

Abstract: In this paper, we propose a new design method of irregular spatially-coupled low-density paritycheck (SC-LDPC) codes with non-uniform degree distributions by linear programming (LP). In general, irregular SC-LDPC codes with non-uniform degree distributions is difficult to design with low complexity because their density evolution equations are multi-dimensional. To solve the problem, the proposed method is based on two main ideas: A local design of the degree distributions and pre-computation of the input/outp… Show more

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Cited by 8 publications
(3 citation statements)
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“…As low-density parity-check (LDPC) codes exhibit excellent decoding performance, they are widely employed in IoT [8][9][10][11]. However, as certain nodes do not actively participate in forwarding messages, the communication cost increases [12].…”
Section: Introductionmentioning
confidence: 99%
“…As low-density parity-check (LDPC) codes exhibit excellent decoding performance, they are widely employed in IoT [8][9][10][11]. However, as certain nodes do not actively participate in forwarding messages, the communication cost increases [12].…”
Section: Introductionmentioning
confidence: 99%
“…Due to the rate loss, there exists a noticeable gap between the BP decoding threshold and capacity. To close this gap, [8], [9] have designed randomized irregular SC-LDPC ensembles with non-uniform degree distributions to improve the decoding threshold. In general, the optimization of degree distributions is difficult because the density evolution equations are multidimensional.…”
Section: Introductionmentioning
confidence: 99%
“…Finally, we note again that the objective of this paper is not to propose a new class of SC-LDPC codes but to optimize the code parameters of existing SC-LDPC codes. In addition, although the scope of this paper is limited to conventional regular SC-LDPC codes under the BEC, the proposed framework can be extended to other channels such as the additive white Gaussian noise (AWGN) channel and other code structures such as time-invariant SC-LDPC codes [17] and irregular SC-LDPC codes [20] as long as their corresponding scaling law is provided.…”
Section: Introductionmentioning
confidence: 99%