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  5. Optimal Design of Joint Protomatrix for DP-LDPC Codes-Based JSCC System Over on-Body Channel

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Article
English
2021

Optimal Design of Joint Protomatrix for DP-LDPC Codes-Based JSCC System Over on-Body Channel

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English
2021
IEEE Access
Vol 9
DOI: 10.1109/access.2021.3061134

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Guanrong Chen
Guanrong Chen

City University Of Hong Kong

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Dan Song
Lin Wang
Qiwang Chen
+1 more

Abstract

A high-quality data transmission scheme in wireless body area networks is implemented by a joint source-channel coding (JSCC) system with M-ary differential chaos shift keying modulation over an on-body channel. Current DP-LDPC code pairs, which have shown good bit-error ratio performance over additive white Gaussian noise channel and Rayleigh fading channel, cannot perform well over on-body channel. In this paper, the DP-LDPC codes are redesigned for the JSCC system with new methods depending on the on-body channel characteristics. A protomatrix dimension-restrictive searching algorithm for DP-LDPC codes in the JSCC system is proposed according to the on-body channel bandwith and source statistic, which is effective to predesign the dimension of the code pair for a new JSCC system. In this way, the source-channel code rates are appropriately allocated to leave more source redundancy for improving the error floor. Moreover, the joint protomatrix is reconstructed into two kinds of compact structures by simplifying the edge linking relationships and modifying joint protograph extrinsic information transfer algorithm, which decreases the induction of searching entries to further accelerate the code searching speed. The searched code pairs show better bit-error ratio performances compared with existing DP-LDPC codes. The power consumption in the new joint coding system is lower than the separate coding system in WBAN on the physical layer.

How to cite this publication

Dan Song, Lin Wang, Qiwang Chen, Guanrong Chen (2021). Optimal Design of Joint Protomatrix for DP-LDPC Codes-Based JSCC System Over on-Body Channel. IEEE Access, 9, pp. 33091-33101, DOI: 10.1109/access.2021.3061134.

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Publication Details

Type

Article

Year

2021

Authors

4

Datasets

0

Total Files

0

Language

English

Journal

IEEE Access

DOI

10.1109/access.2021.3061134

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