Have a personal or library account? Click to login
Optimization of Polar Code BP Bit-Flipping Decoding Based on an Adaptive Genetic Algorithm Cover

Optimization of Polar Code BP Bit-Flipping Decoding Based on an Adaptive Genetic Algorithm

By: Xiaojie Liu and  Guiping Li  
Open Access
|Dec 2025

References

  1. Arikan E. Channel Polarization: A Method for Constructing Capacity-Achieving Codes for Symmetric Binary-Input Memoryless Channels [J]. IEEE Transactions on Information Theory, 2009, 55(7):3051-3073.
  2. Ahmed E, Moustafa E, Sebastian C, et al. Belief propagation list decoding of polar codes [J]. IEEE Communications Letters, 2018, 22(8):1536-1539.
  3. Yu Y, Pan Z, Liu N, et al. Belief Propagation Bit-Flip Decoder for Polar Codes [J]. IEEE Access, 2019,7: 10937-10946.
  4. Shen Y, Song W, Ren Y, et al. Enhanced belief propagation decoder for 5G polar codes with bit-flipping [J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2020, 67(5): 901-905.
  5. Zhang M, Li Z, Xing L. An Enhanced Belief Propagation Decoder for Polar Codes [J]. IEEE Communications Letters, 2021, 25(10): 3161-3165.
  6. Mohammed, N. A., Mansoor, A. M, Ahmad, R. B., & Azzuhri, S. R. B.(2022). Deployment of Polar Codes for Mission-Critical Machine-Type Communication over Wireless Networks. Computers,” Materials*&Continua, 71(1), 1557-1573.
  7. Niu, K., Zhang, P., Dai, J, Si, Z, & Dong, C. (2023). A Golden Decade of Polar Codes: From Basic Principle to 5G Applications. China Communications, 20(2), 94-121.
  8. Han, T, Fu, M., Zhang, M., & Hu, G. (2023). Puncturing scheme for polar codes based on channel reliability estimation. Telecommunication Systems, 82.499-508.
  9. Z. Aharoni, B. Huleihel, H.D. Pfister, and H.H. Permuter, “Data-Driven Polar Codes for Unknown Channels With and Without Memory,”.in -2023IEEE International Symposium on· Information Theory (ISIT), Taipei, Taiwan: IEEE, Jun. 2023, pp.1890-1895.
  10. P. Mohr, S. A.A. Shah, and G. Bauch, “Implementation-Efficient Finite Alphabet Decoding of Polar Codes,”in GLOBECO 2023--2023 -IEEE Global Communications Conference, Kuala Lumpur, Malaysia: IEEE, Dec. 2023, pp. 5318-5323.
  11. C.-F. Teng, K.-S. Ho, C.-H. Wu, S.-S. Wong, and A.-Y. Wu, “Convolutional neural network-aided bit-flipping for belief propagation decoding of polar codes,” 2019, arXiv: 1911.01704.
  12. Shen Y, Song W, Ren Y, et al. Enhanced Belief Propagation Decoder for 5G Polar Codes with Bit-Flipping [J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2020, 67(5):901-905.
  13. Z. Yang and L. Chen, “An Enhanced Belief Propagation Decoding Algorithm With Bit-Flipping for Polar Codes,” IEEE Commun. Lett. vol. 29, no. 2, pp. 348–352, Feb. 2025.
  14. Holland John H. Adaptation in natural and artificial systems [J]. Ann Arbor: University of Michigan Press, 1975.
  15. Xu W, Tan X, Be'ery Y, et al. Deep Learning-Aided Belief Propagation Decoder for Polar Codes [J]. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2020, 10(2): 189-203.
Language: English
Page range: 34 - 45
Published on: Dec 31, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Xiaojie Liu, Guiping Li, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.