TY - GEN
T1 - A Unified Deep Learning Based Polar-LDPC Decoder for 5G Communication Systems
AU - Wang, Yaohan
AU - Zhang, Zhichao
AU - Zhang, Shunqing
AU - Cao, Shan
AU - Xu, Shugong
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/30
Y1 - 2018/11/30
N2 - In the 5G communication systems, a hybrid approach to support polar codes for control plane and LDPC codes for data plane has been identified as the channel coding solution for enhanced mobile broadband (eMBB) scenario. One of the major challenges to implement this approach is to design powerful decoders at the terminal side. Inspired from a useful machine learning based polar decoder, we proposed a deep learning based unified polar-LDPC by concatenating an indicator section. Through numerical experiments, we show that the proposed deep neural network (DNN) based decoding architecture can achieve the similar decoding performance compared with the traditional BP-based decoding algorithm. Meanwhile, the proposed unified approach shares the same network architecture and parameters with isolated approaches, which saves significant implementation resources consequently.
AB - In the 5G communication systems, a hybrid approach to support polar codes for control plane and LDPC codes for data plane has been identified as the channel coding solution for enhanced mobile broadband (eMBB) scenario. One of the major challenges to implement this approach is to design powerful decoders at the terminal side. Inspired from a useful machine learning based polar decoder, we proposed a deep learning based unified polar-LDPC by concatenating an indicator section. Through numerical experiments, we show that the proposed deep neural network (DNN) based decoding architecture can achieve the similar decoding performance compared with the traditional BP-based decoding algorithm. Meanwhile, the proposed unified approach shares the same network architecture and parameters with isolated approaches, which saves significant implementation resources consequently.
KW - deep learning
KW - deep neural networks
KW - LDPC codes
KW - polar codes
KW - unified architecture
UR - http://www.scopus.com/inward/record.url?scp=85059964948&partnerID=8YFLogxK
U2 - 10.1109/WCSP.2018.8555891
DO - 10.1109/WCSP.2018.8555891
M3 - Conference Proceeding
AN - SCOPUS:85059964948
T3 - 2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
BT - 2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
Y2 - 18 October 2018 through 20 October 2018
ER -