<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In order to solve the high latency problem of polar codes belief propagation decoding algorithm in the 5G and the dimension limitation problem of belief propagation decoding algorithm under deep learning, a multilayer perceptron belief propagation decoding (MLP-BP) algorithm based on partitioning idea is proposed. In this work, polar codes is decoded using neural networks in partitioning, and the right transfer message value of BP decoding algorithm is also set to complete the propagation process. Simulation results show that, compared with BP decoding algorithm, the proposed algorithm has better decoding performance, reducing the decoding latency, and it is also applicable to long polar codes.</p>
</abstract>

In order to solve the high latency problem of polar codes belief propagation decoding algorithm in the 5G and the dimension limitation problem of belief propagation decoding algorithm under deep learning, a multilayer perceptron belief propagation decoding (MLP-BP) algorithm based on partitioning idea is proposed. In this work, polar codes is decoded using neural networks in partitioning, and the right transfer message value of BP decoding algorithm is also set to complete the propagation process. Simulation results show that, compared with BP decoding algorithm, the proposed algorithm has better decoding performance, reducing the decoding latency, and it is also applicable to long polar codes.

Optimization and Improvement of BP Decoding Algorithm for Polar Codes Based on Deep Learning

School of Computer Science and Engineering

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

In order to solve the high latency problem of polar codes belief propagation decoding algorithm in the 5G and the dimension limitation problem of belief...

Optimization and Improvement of BP Decoding Algorithm for Polar Codes Based on Deep Learning

Online veröffentlicht: 16. Aug. 2023

Seitenbereich: 61 - 71

DOI: https://doi.org/10.2478/ijanmc-2023-0057

Schlüsselwörter
Polar Codes, Belief Propagation, Deep Learning

© 2023 Li Ge et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Optimization and Improvement of BP Decoding Algorithm for Polar Codes Based on Deep Learning

Online veröffentlicht: 16. Aug. 2023

Seitenbereich: 61 - 71

DOI: https://doi.org/10.2478/ijanmc-2023-0057

SchlüsselwörterPolar Codes, Belief Propagation, Deep Learning

© 2023 Li Ge et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Polar Codes, Belief Propagation, Deep Learning