Polar code construction by estimating noise using bald hawk optimized recurrent neural network model

Polar code construction by estimating noise using bald hawk optimized recurrent neural network model

Abstract Polar codes are making significant progress in error-correcting coding due to their ability to reach the limit of the Shannon capacity of communication channels, indicating great advancements in the field. Decoding errors are common in real communication channels with noise. The main object...

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Bibliographic Details
Main Authors: Sunil Yadav Kshirsagar, Venkatrajam Marka
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Recurrent neural network (RNN)
Polar code construction
Noise estimation
Bit error rate (BER)
Frame error rate (FER)
Online Access:https://doi.org/10.1038/s41598-025-07886-7
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https://doi.org/10.1038/s41598-025-07886-7

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