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) technique has breakthrough achievements in many fields, neural network decoder was proposed to obtain faster convergence and better pe...

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Vydané v:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 1413 - 1417
Hlavní autori:	Teng, Chieh-Fang, Wu, Chen-Hsi Derek, Kuan-Shiuan Ho, Andrew, Wu, An-Yeu Andy
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2019
Predmet:	Belief propagation Communication systems Decoding Deep learning New Radio Polar codes Quantization (signal) recurrent neural network Recurrent neural networks Speech coding Speech processing weight quantization
ISSN:	2379-190X
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