TY - GEN
T1 - Improved Belief-Propagation Decoding with Virtual Channel Outputs for LDPC Convolutional Codes with Rational Parity-Check Matrices
AU - Wang, Chung Hsuan
AU - Lu, Jo Han
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/8
Y1 - 2021/8
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=85116707768&partnerID=8YFLogxK
U2 - 10.1109/APWCS50173.2021.9548754
DO - 10.1109/APWCS50173.2021.9548754
M3 - Conference contribution
AN - SCOPUS:85116707768
T3 - 17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021 - Proceedings
BT - 17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021
Y2 - 30 August 2021 through 31 August 2021
ER -