Optimization and Improvement of BP Decoding Algorithm for Polar Codes Based on Deep Learning
نویسندگان
چکیده
Abstract In order to solve the high latency problem of polar codes belief propagation decoding algorithm in 5G and dimension limitation under deep learning, a multilayer perceptron (MLP-BP) based on partitioning idea is proposed. this work, decoded using neural networks partitioning, right transfer message value BP also set complete process. Simulation results show that, compared with algorithm, proposed has better performance, reducing latency, it applicable long codes.
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ژورنال
عنوان ژورنال: International journal of advanced network, monitoring, and controls
سال: 2023
ISSN: ['2470-8038']
DOI: https://doi.org/10.2478/ijanmc-2023-0057