Learning to denoise and decode: A novel residual neural network decoder for polar codes
Z Cao, H Zhu, Y Zhao, D Li - 2020 IEEE 92nd Vehicular …, 2020 - ieeexplore.ieee.org
Polar codes have been adopted as the control channel coding scheme in the fifth generation
new radio (5G NR) standard due to its capacity-achievable property. Traditional polar …
new radio (5G NR) standard due to its capacity-achievable property. Traditional polar …
Learning to denoise and decode: A novel residual neural network decoder for polar codes
H Zhu, Z Cao, Y Zhao, D Li - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Polar codes are known as the first capacity-achievable codes with low encoding and
decoding complexity. The sequential decoding nature of traditional polar decoding …
decoding complexity. The sequential decoding nature of traditional polar decoding …
Low-precision neural network decoding of polar codes
Neural Network (NN) polar decoders have been getting much attention as a viable
replacement for conventional decoders in 5G New Radio (NR). Despite scalability issues …
replacement for conventional decoders in 5G New Radio (NR). Despite scalability issues …
Neural successive cancellation decoding of polar codes
Neural network (NN) based decoders have appeared as potential candidates to replace
successive cancellation (SC) based and belief propagation (BP) decoders for polar codes …
successive cancellation (SC) based and belief propagation (BP) decoders for polar codes …
Low-complexity recurrent neural network-based polar decoder with weight quantization mechanism
Polar codes have drawn much attention and been adopted in 5G New Radio (NR) due to
their capacity-achieving performance. Recently, as the emerging deep learning (DL) …
their capacity-achieving performance. Recently, as the emerging deep learning (DL) …
Scaling deep learning-based decoding of polar codes via partitioning
The training complexity of deep learning-based channel decoders scales exponentially with
the codebook size and therefore with the number of information bits. Thus, neural network …
the codebook size and therefore with the number of information bits. Thus, neural network …
A graph-neural-network decoder with MLP-based processing cells for polar codes
X Song, Z Zhang, J Wang, K Qin - 2019 11th International …, 2019 - ieeexplore.ieee.org
Compared with traditional decoders, the Neural Network Decoder (NND) has the
advantages of being low-latency, high-throughput and one-shot. However, the conventional …
advantages of being low-latency, high-throughput and one-shot. However, the conventional …
A BP-NN decoding algorithm for polar codes
C Wen, J Xiong, L Gui, L Zhang - 2019 11th International …, 2019 - ieeexplore.ieee.org
Polar code is selected for the 5-th generation of wireless communication standard.
Meanwhile, with the demand of low latency in 5G and great success in deep learning area …
Meanwhile, with the demand of low latency in 5G and great success in deep learning area …
For One-Shot Decoding: Unsupervised Deep Learning-Based Polar Decoder
H Song, Y Luo, Y Fukuzawa - arXiv preprint arXiv:2307.08004, 2023 - arxiv.org
We propose an unsupervised deep learning-based decoding scheme that enables one-shot
decoding of polar codes. In the proposed scheme, rather than using the information bit …
decoding of polar codes. In the proposed scheme, rather than using the information bit …
Reducing polar decoding latency by neural network-based on-the-fly decoder selection
A Elkelesh, S Cammerer… - 2020 IEEE Workshop on …, 2020 - ieeexplore.ieee.org
The state-of-the-art decoding algorithm of polar codes is the successive cancellation list
(SCL) decoder which approaches the error-rate performance of the maximum like lihood …
(SCL) decoder which approaches the error-rate performance of the maximum like lihood …