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A Rate-Compatible Low-Density Parity-Check Convolutional Coding Scheme Using Informed Dynamic Scheduling
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A Rate-Compatible Low-Density Parity-Check Convolutional Coding Scheme Using Informed Dynamic Scheduling

Huang-Chang Lee, Yung-Hsiang Su and Yeong-Luh Ueng
IEEE Vehicular Technology Conference, Vol.2017-June, 8108393
11/2017

Abstract

Informed dynamic scheduling (IDS) Low-density parity-check convolutional codes (LDPC-CCs) Puncturing pattern Ratecompatible (RC) Computer Science Applications Electrical and Electronic Engineering Applied Mathematics
Low-density parity-check convolutional codes (LDPC-CCs) are generally decoded using sliding- window based message passing decoding. Based on the sliding-window decoding, an informed dynamic scheduling (IDS) for LDPC-CC is proposed in this work, where the decoding convergence can be significantly accelerated. Since the number of processors required for a satisfactory performance can be reduced, the decoder can be simplified. A set of rate-compatible (RC) puncturing patterns is also proposed and is used to construct RC LDPC-CCs for the performance evaluation of the proposed IDS. Although the proposed puncturing pattern cannot be optimized for individual code rate owing to the rate-compatible constraint, they can still provide a comparable error rate performance compared to the codes defined in the IEEE 802.16m standard. It is worth noting that these standard codes are not rate-compatible.

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