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Segmented Successive Cancellation List Polar Decoding with Tailored CRC

  • Huayi Zhou
  • Xiao Liang
  • Liping Li
  • Zaichen Zhang
  • Xiaohu You
  • Chuan Zhang
Article
  • 13 Downloads

Abstract

As the first error correction codes provably achieving the symmetric capacity of binary-input discrete memory-less channels (B-DMCs), polar codes have been recently chosen by 3GPP for eMBB control channel. Among existing algorithms, CRC-aided successive cancellation list (CA-SCL) decoding is favorable due to its good performance, where CRC is placed at the end of the decoding and helps to eliminate the invalid candidates before final selection. However, the good performance is obtained with a complexity increase that is linear in list size L. In this paper, the tailored CRC-aided SCL (TCA-SCL) decoding is proposed to balance performance and complexity. Analysis on how to choose the proper CRC for a given segment is proposed with the help of virtual transform and virtual length. For further performance improvement, hybrid automatic repeat request (HARQ) scheme is incorporated. Numerical results have shown that, with the similar complexity as the state-of-the-art, the proposed TCA-SCL and HARQ-TCA-SCL schemes achieve 0.1 dB and 0.25 dB performance gain at frame error rate FER = 10− 2, respectively. Finally, an efficient TCA-SCL decoder is implemented with FPGA demonstrating its advantages over CA-SCL decoder.

Keywords

Polar codes Segmented CA-SCL Tailored CRC HARQ VLSI 

Notes

Acknowledgments

This work is supported in part by NSFC under grants 61871115 and 61501116, Jiangsu Provincial NSF for Excellent Young Scholars under grant BK20180059, the Fundamental Research Funds for the Central Universities, the SRTP of Southeast University, ICRI for MNC, and the Project Sponsored by the SRF for the Returned Overseas Chinese Scholars of MoE.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS), National Mobile Communications Research LaboratorySoutheast UniversityNanjingChina
  2. 2.Key Laboratory of Intelligent Computing and Signal Processing of the MoEAnhui UniversityHefeiChina

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