Review and Evaluation of Belief Propagation Decoders for Polar Codes

The polar code has become one of the most popular and important forward error correction (FEC) coding schemes due to its symmetric characteristics of channel polarization. This paper reviews various decoding schemes for polar codes and discusses their advantages and disadvantages. After reviewing th...

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Vydané v:Symmetry (Basel) Ročník 14; číslo 12; s. 2633
Hlavní autori: Zhou, Lingxia, Zhang, Meixiang, Chan, Satya, Kim, Sooyoung
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Basel MDPI AG 01.12.2022
Predmet:
Algorithms
Analysis
Codes
Complexity
Computer networks
Decoders
Decoding
Deep learning
Error correction
Methods
Network latency
Neural networks
Performance enhancement
Propagation
Reduction
Scheduling
Values
ISSN:2073-8994, 2073-8994
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Popis
Shrnutí:The polar code has become one of the most popular and important forward error correction (FEC) coding schemes due to its symmetric characteristics of channel polarization. This paper reviews various decoding schemes for polar codes and discusses their advantages and disadvantages. After reviewing the existing performance-enhancing techniques such as belief propagation decoding with list, a new method is proposed to further improve the performance. In addition, a new complexity reduction technique based on the constituent codes is proposed, and a new scheduling scheme is introduced to reduce the decoding latency. Due to the recent development of neural networks, their applications to decoding schemes are also reviewed and evaluated. Finally, the proposed complexity-reduced technique is integrated with a neural network-based belief propagation decoding, which demonstrates performance enhancement as well as computational complexity reduction.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:2073-8994
2073-8994
DOI:10.3390/sym14122633