Low Complexity Majority-Logic Decoding for LDPC-Coded PNC Systems
Author:
Affiliation:
1. Department of Electronic Information, Fuzhou University, Fujian, China
2. School of Information Engineering, Guangdong University of Technology, Guangzhou, China
Funder
NSF of China
Open Fund of Guangdong Provincial Key Laboratory of Information Photonics Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/9771287/09714392.pdf?arnumber=9714392
Reference18 articles.
1. An Algebraic Approach to Physical-Layer Network Coding
2. Generalized sum-product algorithm for joint channel decoding and physical-layer network coding in two-way relay systems;wubben;Proc IEEE Global Telecommun Conf,2010
3. Decoding Generalized Joint Channel Coding and Physical Network Coding in the LLR Domain
4. Improved parallel weighted bit-flipping decoding algorithm for LDPC codes
5. Two reliabilitybased iterative majority-logic decoding algorithms for LDPC codes;qin;IEEE Trans Commun,2009
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1. An Efficient Coding Scheme for the AWGN Relay Network With Receiver–Transmitter Feedback;IEEE Systems Journal;2024-09
2. Polarization-Aided Coding for Nonorthogonal Multiple Access;IEEE Internet of Things Journal;2024-09-01
3. Improving LDPC-Coded PNC Decoders via Informed Dynamic Scheduling;IEEE Communications Letters;2023-08
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