Designing a Common DP-LDPC Code Pair for Variable On-Body Channels

• Published in: IEEE transactions on wireless communications Vol. 21; no. 11; pp. 9596 - 9609
• Main Authors: Song, Dan, Ren, Jinkai, Wang, Lin, Chen, Guanrong
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial intelligence; Body area networks; Channels; Codes; common DP-LDPC code pair; Decoding; Encoding; Error correcting codes; Evolutionary algorithms; Evolutionary computation; Joint source channel coding; Low density parity check codes; optimal coding algorithm; Parity check codes; Principal component analysis; Principal components analysis; principle component analysis; Shape factor; Technical services; Weibull distribution; wireless body area network; Wireless communication
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2022.3178207

The joint source channel coding (JSCC) system is sensitive to the changing channel characteristics, because the optimally designed source-channel code pair always needs to be redesigned when the transmission environment is updated. A solution is to seek a common code pair for variable channels. Channel model 3 (CM3) is a variable on-body channel following the Weibull distribution, which is analyzed in four conditions due to varying shape factors, namely with exponential, Rayleigh, log-normal and normal distributions. The JSCC system is considered in this paper based on double protograph low-density parity-check (DP-LDPC) code pair over the variable CM3 channel. Firstly, four DP-LDPC code pairs are searched by the conventional differential evolution (DE) algorithm with four distributions of the Weibull model, respectively. However, these four code pairs only present good bit-error ratio performance in their own distribution, and have error floors in the other three. To resolve the problem, an artificial intelligence method based on principle component analysis (PCA) algorithm is designed to extract the common code pair. It is demonstrated that the common code pair performs well in noise-varying and practical-parameter transmissions. Instead of four DE code pairs, the designed one PCA code pair provides a strong technical support to low-complexity manufacturing such as eHealthcare.