Bidirectional stack decoding of polar codes
Introduction/purpose: The paper introduces a reduced latency stack decoding algorithm of polar codes, inspired by the bidirectional stack decoding of convolutional codes and based on the folding technique. Methods: The stack decoding algorithm (also known as stack search) that is useful for deco...
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
University of Defence in Belgrade
2021
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/01509a1872b34d24a2a46d68cf935121 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Sumario: | Introduction/purpose: The paper introduces a reduced latency stack decoding
algorithm of polar codes, inspired by the bidirectional stack decoding of
convolutional codes and based on the folding technique.
Methods: The stack decoding algorithm (also known as stack search) that is
useful for decoding tree codes, the list decoding technique introduced by Peter
Elias and the folding technique for polar codes which is used to reduce the
latency of the decoding algorithm. The simulation was done using the Monte
Carlo procedure.
Results: A new polar code decoding algorithm, suitable for parallel
implementation, is developed and the simulation results are presented.
Conclusions: Polar codes are a class of capacity achieving codes that have
been adopted as the main coding scheme for control channels in 5G New
Radio. The main decoding algorithm for polar codes is the successive
cancellation decoder. This algorithm performs well at large blocklengths with a
low complexity, but has very low reliability at short and medium blocklengths.
Several decoding algorithms have been proposed in order to improve the
error correcting performance of polar codes. The successive cancellation
list decoder, in conjunction with a cyclic redundancy check, provides very good error-correction performance, but at the cost of a high implementation
complexity. The successive cancellation stack decoder provides similar
error-correction performance at a lower complexity. Future machine-type and
ultra reliable low latency communication applications require high-speed low
latency decoding algorithms with good error correcting performance. In this
paper, we propose a novel decoding algorithm, inspired by the bidirectional stack
decoding of classical convolutional codes, with reduced latency that achieves
similar performance as the classical successive cancellation list and successive
cancellation stack decoding algorithms. The results are presented analytically
and verified by simulation. |
|---|