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  5. Joint Coding/Decoding Optimization for DC-BICM System: Collaborative Design

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Article
English
2021

Joint Coding/Decoding Optimization for DC-BICM System: Collaborative Design

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English
2021
IEEE Communications Letters
Vol 25 (8)
DOI: 10.1109/lcomm.2021.3081678

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Guanrong Chen
Guanrong Chen

City University Of Hong Kong

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Zhiping Xu
Lin Wang
Guanrong Chen

Abstract

Differential chaotic bit-interleaved coded modulation (DC-BICM) system can achieve coding gain from channel code without loss of bandwidth in the differential chaos shift keying (DCSK) system, but the current DC-BICM system using the belief propagation decoding algorithm has high decoding complexity, which brings burdens to resource-limited applications. In this letter, a novel collaborative design framework based on joint coding and decoding optimization is proposed for the DC-BICM system over multipath Rayleigh channels. Firstly, the column-weight-based (CWB) shuffled scheduling decoding is introduced into the DC-BICM system to lower the decoding complexity, called shuffled-based DC-BICM system. Then, a CWB extrinsic information transfer (CWB-EXIT) algorithm is developed for the theoretical analysis of this system. With the CWB-EXIT algorithm, a low-storage protograph low-density parity-check (P-LDPC) code is designed for this system, and the column-weight distribution is taken as an important constraint in the collaborative design process. In this way, the storage space used for storing the scheduling order in the CWB shuffled scheduling can be saved, whose size is proportional to code length. Theoretical analysis and simulations show that the shuffled-based DC-BICM system with the low-storage P-LDPC code can achieve lower decoding complexity, less storage requirement and better performance than the existing systems.

How to cite this publication

Zhiping Xu, Lin Wang, Guanrong Chen (2021). Joint Coding/Decoding Optimization for DC-BICM System: Collaborative Design. IEEE Communications Letters, 25(8), pp. 2487-2491, DOI: 10.1109/lcomm.2021.3081678.

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Publication Details

Type

Article

Year

2021

Authors

3

Datasets

0

Total Files

0

Language

English

Journal

IEEE Communications Letters

DOI

10.1109/lcomm.2021.3081678

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