Improved Belief-Propagation Decoding with Virtual Channel Outputs for LDPC Convolutional Codes with Rational Parity-Check Matrices

Chung Hsuan Wang; Jo Han Lu

doi:10.1109/APWCS50173.2021.9548754

Improved Belief-Propagation Decoding with Virtual Channel Outputs for LDPC Convolutional Codes with Rational Parity-Check Matrices

Chung Hsuan Wang, Jo Han Lu

Institute of Communications Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Previous studies revealed that low-density parity-check convolutional codes (LDPC-CC) with rational parity-check matrices may outperform LDPC-CC with ordinary polynomial parity-check matrices. However, such a performance improvement relies on a dynamic scheduling-aided decoding scheme with high processing latency which may prevent LDPC-CC with rational parity-check matrices from practical applications. In this paper, we find that conventional belief-propagation algorithms suitable for high-speed parallel implementation can still provide the satisfactory performance gain for LDPC-CC with rational parity-check matrices as long as some virtual channel outputs which can accelerate the convergence of iterative decoding are properly supplied. Criteria for generating virtual channel outputs are investigated from the viewpoint of Tanner graph. Simulation results are also provided for performance verification.

Original language	English
Title of host publication	17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665401203
DOIs	https://doi.org/10.1109/APWCS50173.2021.9548754
State	Published - Aug 2021
Event	17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021 - Virtual, Osaka, Japan Duration: 30 Aug 2021 → 31 Aug 2021

Publication series

Name	17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021 - Proceedings

Conference

Conference	17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021
Country/Territory	Japan
City	Virtual, Osaka
Period	30/08/21 → 31/08/21

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10.1109/APWCS50173.2021.9548754

Cite this

Wang, C. H., & Lu, J. H. (2021). Improved Belief-Propagation Decoding with Virtual Channel Outputs for LDPC Convolutional Codes with Rational Parity-Check Matrices. In 17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021 - Proceedings (17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APWCS50173.2021.9548754

Wang, Chung Hsuan ; Lu, Jo Han. / Improved Belief-Propagation Decoding with Virtual Channel Outputs for LDPC Convolutional Codes with Rational Parity-Check Matrices. 17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021 - Proceedings).

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title = "Improved Belief-Propagation Decoding with Virtual Channel Outputs for LDPC Convolutional Codes with Rational Parity-Check Matrices",

abstract = "Previous studies revealed that low-density parity-check convolutional codes (LDPC-CC) with rational parity-check matrices may outperform LDPC-CC with ordinary polynomial parity-check matrices. However, such a performance improvement relies on a dynamic scheduling-aided decoding scheme with high processing latency which may prevent LDPC-CC with rational parity-check matrices from practical applications. In this paper, we find that conventional belief-propagation algorithms suitable for high-speed parallel implementation can still provide the satisfactory performance gain for LDPC-CC with rational parity-check matrices as long as some virtual channel outputs which can accelerate the convergence of iterative decoding are properly supplied. Criteria for generating virtual channel outputs are investigated from the viewpoint of Tanner graph. Simulation results are also provided for performance verification.",

author = "Wang, {Chung Hsuan} and Lu, {Jo Han}",

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language = "English",

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Wang, CH & Lu, JH 2021, Improved Belief-Propagation Decoding with Virtual Channel Outputs for LDPC Convolutional Codes with Rational Parity-Check Matrices. in 17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021 - Proceedings. 17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021, Virtual, Osaka, Japan, 30/08/21. https://doi.org/10.1109/APWCS50173.2021.9548754

Improved Belief-Propagation Decoding with Virtual Channel Outputs for LDPC Convolutional Codes with Rational Parity-Check Matrices. / Wang, Chung Hsuan; Lu, Jo Han.
17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Previous studies revealed that low-density parity-check convolutional codes (LDPC-CC) with rational parity-check matrices may outperform LDPC-CC with ordinary polynomial parity-check matrices. However, such a performance improvement relies on a dynamic scheduling-aided decoding scheme with high processing latency which may prevent LDPC-CC with rational parity-check matrices from practical applications. In this paper, we find that conventional belief-propagation algorithms suitable for high-speed parallel implementation can still provide the satisfactory performance gain for LDPC-CC with rational parity-check matrices as long as some virtual channel outputs which can accelerate the convergence of iterative decoding are properly supplied. Criteria for generating virtual channel outputs are investigated from the viewpoint of Tanner graph. Simulation results are also provided for performance verification.

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Wang CH, Lu JH. Improved Belief-Propagation Decoding with Virtual Channel Outputs for LDPC Convolutional Codes with Rational Parity-Check Matrices. In 17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. (17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021 - Proceedings). doi: 10.1109/APWCS50173.2021.9548754

Improved Belief-Propagation Decoding with Virtual Channel Outputs for LDPC Convolutional Codes with Rational Parity-Check Matrices

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