Zhang, Di and Yang, Yinglei and Liu, Zilong and Jia, Shaobo and Lee, Kyungchun and Zhang, Zhirong (2025) Low Complexity Weight Flexible Decoding Schemes of Linear Block Code for 6G xURLLC. IEEE Transactions on Vehicular Technology. pp. 1-6. DOI https://doi.org/10.1109/tvt.2025.3620035
Zhang, Di and Yang, Yinglei and Liu, Zilong and Jia, Shaobo and Lee, Kyungchun and Zhang, Zhirong (2025) Low Complexity Weight Flexible Decoding Schemes of Linear Block Code for 6G xURLLC. IEEE Transactions on Vehicular Technology. pp. 1-6. DOI https://doi.org/10.1109/tvt.2025.3620035
Zhang, Di and Yang, Yinglei and Liu, Zilong and Jia, Shaobo and Lee, Kyungchun and Zhang, Zhirong (2025) Low Complexity Weight Flexible Decoding Schemes of Linear Block Code for 6G xURLLC. IEEE Transactions on Vehicular Technology. pp. 1-6. DOI https://doi.org/10.1109/tvt.2025.3620035
Abstract
Low complexity error correction code is a key enabler for next generation ultra-reliable low-latency communications (xURLLC) in six generation (6G). Against this background, this paper proposes a decoding scheme for linear block code by leveraging certain interesting properties of dual codewords. It is found that dual codewords with flexible weights can provide useful decoding information for the locations and magnitudes of error bits, which yielding higher reliability performance. In addition, two decoding schemes are proposed, in which one directly utilizes intrinsic information for iterative decoding, and the other combines prior channel information with intrinsic information for decoding. Both schemes are implemented using vector multiplication and real-number comparisons, making them easy to implement in hardware. Simulation results demonstrate the validness of our study.
| Item Type: | Article | 
|---|---|
| Uncontrolled Keywords: | Low complexity decoding algorithm; iterative decoding; linear block code; xURLLC; 6G | 
| Subjects: | Z Bibliography. Library Science. Information Resources > ZR Rights Retention | 
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of | 
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk | 
| Depositing User: | Unnamed user with email elements@essex.ac.uk | 
| Date Deposited: | 28 Oct 2025 17:06 | 
| Last Modified: | 28 Oct 2025 17:07 | 
| URI: | http://repository.essex.ac.uk/id/eprint/41820 | 
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