A High Performance and Low Complexity LDPC Decoding Strategy for Space-Air-Ground-Sea Integrated Communication Networks

Xinyuan Ren, Jiahao Zhang, Chao Chen, Shuai Wang*, Gaofeng Pan, Xiaqing Miao, Jianping An

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

In the coming sixth-generation era, space-air-ground-sea integrated (SAGSI) communication networks will be rapidly developed, with broader coverage, connectivity, security, and so on. The various communication requirements call for a decoding algorithm with lower complexity and higher coding gain for the channel code. Inspired by this point and based on the fifth-generation networks standard, this paper proposes a high-performance and low-complexity Low-Density Parity-Check (LDPC) decoding strategy for SAGSI communication networks. Based on a two-dimensional self-corrected min-sum algorithm (2D-SCMSA), the message reliability can be improved by the proposed Enhanced 2D-SCMSA (E-2D-SCMSA) while considering the erasure range of the variable node message. For given LDPC codes, the simulation results show that the proposed E-2D-SCMSA can achieve a performance gain of approximately 0.1dB at bit error rate (BER) of 10-4 compared to 2D-SCMSA with a negligible increase in computational complexity. Moreover, the performance gap between the proposed E-2D-SCMSA and likelihood ratio belief-propagation algorithm is less than 0.1dB

源语言英语
期刊IEEE Transactions on Vehicular Technology
DOI
出版状态已接受/待刊 - 2024

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Ren, X., Zhang, J., Chen, C., Wang, S., Pan, G., Miao, X., & An, J. (已接受/印刷中). A High Performance and Low Complexity LDPC Decoding Strategy for Space-Air-Ground-Sea Integrated Communication Networks. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/TVT.2024.3514313