Back to Search
Start Over
Error‐rate analysis of polar code designs using genetic algorithm for additive white Gaussian noise channel.
- Source :
-
International Journal of Communication Systems . Dec2023, Vol. 36 Issue 18, p1-9. 9p. - Publication Year :
- 2023
-
Abstract
- Summary: A novel scheme for designing polar codes with specific decoding schemes in the additive white Gaussian noise channel is presented in this paper. The code construction strategy is built on the genetic algorithm (GA) where successive evolution of populations (or group of information sets) leads toward fittest candidate to attain finest error‐rates. In this work, it is shown that better error‐rates can be attained by both successive cancelation list decoding using GA with no cyclic redundancy check (CRC) and belief propagation decoding using GA with no CRC and no list, compared to existing polar decoding schemes. Our proposed polar code design scheme using GA has the ability to attain a target block error rates with the least possible SNR and using no additional CRC by exploiting least belief propagation iterations or lesser successive cancelation list list size with no self‐alterations in the decoding algorithm. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ADDITIVE white Gaussian noise channels
*DECODING algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 10745351
- Volume :
- 36
- Issue :
- 18
- Database :
- Academic Search Index
- Journal :
- International Journal of Communication Systems
- Publication Type :
- Academic Journal
- Accession number :
- 173470215
- Full Text :
- https://doi.org/10.1002/dac.5611