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Low Complexity Majority-Logic Decoding for LDPC-Coded PNC Systems

delete2022-05-01
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PRE
AI
X
Xiaoqian Xie
陈萍萍 封面图
陈萍萍 (Pingping Chen) *
方毅 封面图
方毅 (Yi Fang)
Z
Zhaopeng Xie
DOI:10.1109/LCOMM.2022.3151770delete
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摘要

摘要

En 中文
In this letter, we propose majority-logic decoding (MLGD) algorithms of low complexity for low-density parity-check (LDPC) coded physical-layer network coding (PNC) in a two-way relay channel (TWRC). In particular, we decode the transmit combination of two-user messages from the superimposed signal and then map the XOR message of two users. By exploiting the superposition rules of PNC, we develop hard decision-based and reliability-based decoding algorithms, i.e., modified one-step MLGD (M-OSMLGD) and iterative soft reliability-based decoding (M-ISRB), to iteratively update the combination of two-user messages. Moreover, we propose an improved M-ISRB (IM-ISRB) decoding to update the external reliability of the combination of two-user messages in each iteration. Simulation results show that the proposed decoding algorithms can achieve effective an trade-off between complexity and decoding performance for LDPC-coded PNC systems.
Keyword:
Iterative decoding
Reliability
Decoding
Relays
Complexity theory
Network coding
Simulation
Physical network coding
relay
low-density parity-check codes
majority logic decoding

期刊

IEEE Communications Letters 封面图
IEEE Communications Letters
IF:
4.4
论文数:
1.3W
被引数:
2.2W

机构

F
fuzhou university
学者数:
3.3W
论文数: 2.1W
被引数: 31
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