Andrew Kuan-Shiuan Ho — accepted AI-conference papers

2021

Convolutional Neural Network-Aided Bit-Flipping for Belief Propagation Decoding of Polar Codes

Chieh-Fang Teng, Andrew Kuan-Shiuan Ho, Chen-Hsi Derek Wu, Sin-Sheng Wong, An-Yeu Andy Wu

ICASSP 2021accepted

Known for their capacity-achieving abilities, polar codes have been selected as the control channel coding scheme for 5G communications. To satisfy high throughput and low latency, belief propagation (BP) is ideal as the decoding algorithm due to its nature of parallel processing. However, the error…

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2019

Low-complexity Recurrent Neural Network-based Polar Decoder with Weight Quantization Mechanism

Chieh-Fang Teng, Chen-Hsi Derek Wu, Andrew Kuan-Shiuan Ho, An-Yeu Andy Wu

ICASSP 2019accepted

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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