Low Complexity Weight Flexible Decoding Schemes of Linear Block Code for 6G xURLLC

Di Zhang, Yinglei Yang, Zilong Liu, Shaobo Jia, Kyungchun Lee, Zhirong Zhang

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
JournalIEEE Transactions on Vehicular Technology
DOIs
StateAccepted/In press - 2025

Keywords

  • 6G
  • iterative decoding
  • linear block code
  • Low complexity decoding algorithm
  • xURLLC

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