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author:

Yang, Zhaojie (Yang, Zhaojie.) [1] | Fang, Yi (Fang, Yi.) [2] | Cai, Guofa (Cai, Guofa.) [3] | Zhang, Guohua (Zhang, Guohua.) [4] | Chen, Pingping (Chen, Pingping.) [5] (Scholars:陈平平)

Indexed by:

EI Scopus SCIE

Abstract:

In this letter, we conduct a comprehensive investigation on tail-biting (TB) spatially coupled protograph (SC-P) low-density parity-check (LDPC) codes under shuffled belief-propagation (BP) decoding. We first propose a shuffled extrinsic information transfer (S-EXIT) algorithm tailored for the shuffled decoding. Exploiting the proposed algorithm, we accurately predict the convergence performance (i.e., decoding thresholds) for TB-SC-P codes under such a schedule and demonstrate that their convergence performance can be further improved. Based on the S-EXIT analysis, we develop an optimization method to generate a new type of TB-SC-P codes, called improved TB-SC double-protograph (I-TB-SC-DP) codes, which can inherit the superiorities of two mother protograph codes and possess more desirable decoding thresholds. Theoretical analyses and simulated results illustrate that the proposed I-TB-SC-DP codes exhibit better error performance than the existing counterparts.

Keyword:

Convergence Decoding extrinsic information transfer Matrix decomposition Optimization Parity check codes Prediction algorithms Schedules shuffled decoding Tail-biting spatially coupled protograph codes

Community:

  • [ 1 ] [Yang, Zhaojie]Guangdong Univ Technol, Sch Informat Engn, Guangzhou 510006, Peoples R China
  • [ 2 ] [Fang, Yi]Guangdong Univ Technol, Sch Informat Engn, Guangzhou 510006, Peoples R China
  • [ 3 ] [Cai, Guofa]Guangdong Univ Technol, Sch Informat Engn, Guangzhou 510006, Peoples R China
  • [ 4 ] [Zhang, Guohua]Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
  • [ 5 ] [Zhang, Guohua]Xian Univ Posts & Telecommun, Sch Commun & Informat Engn, Xian 710121, Peoples R China
  • [ 6 ] [Chen, Pingping]Fuzhou Univ, Dept Elect Informat, Fuzhou 350116, Peoples R China

Reprint 's Address:

  • [Fang, Yi]Guangdong Univ Technol, Sch Informat Engn, Guangzhou 510006, Peoples R China

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Source :

IEEE COMMUNICATIONS LETTERS

ISSN: 1089-7798

Year: 2020

Issue: 7

Volume: 24

Page: 1378-1382

3 . 4 3 6

JCR@2020

3 . 7 0 0

JCR@2023

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:149

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 4

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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