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author:

Zou, Linqi (Zou, Linqi.) [1] | Yan, Hao (Yan, Hao.) [2] | Dong, Jie (Dong, Jie.) [3] | Li, Yong (Li, Yong.) [4] | Chen, Pingping (Chen, Pingping.) [5] | Lau, Francis C. M. (Lau, Francis C. M..) [6]

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Abstract:

Low-density parity-check (LDPC) codes with protograph-based raptor-like (PBRL) structure have been chosen as the data channel coding scheme for the fifth-generation (5G) enhanced mobile broad band (eMBB) services. However, these 5G LDPC codes are not optimized for the scenarios of Ultra Reliable and Low Latency Communications (URLLC) and massive Machine Type Communications (mMTC) in which small transport block sizes are usually used. In this paper, a new method is proposed to construct PBRL LDPC codes for URLLC and mMTC. This method incorporates degree-distribution optimization, base matrix derived from parity-check matrix of quadratic residue codes, masking technique and modified progressive-edge-growth (PEG) algorithm. Simulation results show that the proposed PBRL LDPC codes outperform 5G LDPC short codes in terms of error-correcting performance. © 2024 IEEE.

Keyword:

5G mobile communication systems Channel coding Convolutional codes Finite element method Forward error correction Matrix algebra Satellite communication systems Signal encoding

Community:

  • [ 1 ] [Zou, Linqi]Chongqing University, College of Computer Science, Chongqing; 400044, China
  • [ 2 ] [Yan, Hao]Imperial College London, Department of Electrical and Electronic Engineering, London; SW7 2AZ, United Kingdom
  • [ 3 ] [Dong, Jie]Singapore University of Technology and Design, Mathematics and Technology, Department of Science, Tampines; 487372, Singapore
  • [ 4 ] [Li, Yong]Chongqing University, College of Computer Science, Chongqing; 400044, China
  • [ 5 ] [Chen, Pingping]Fuzhou University, Department of Electronic Information, Fuzhou; 350108, China
  • [ 6 ] [Lau, Francis C. M.]HongKong Polytechnic University, Department of Electronic and Information Engineering, Hong Kong; 100872, Hong Kong

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Source :

IEEE Transactions on Communications

ISSN: 0090-6778

Year: 2024

Issue: 9

Volume: 72

Page: 5290-5301

7 . 2 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 2

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