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Channel Decoding for Nonbinary Physical-Layer Network Coding in Two-Way Relay Systems

delete2019-01-01
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陈萍萍 封面图
陈萍萍 (Pingping Chen)
施龙 封面图
施龙 (Long Shi) *
S
Soung Chang Liew
方毅 封面图
方毅 (Yi Fang)
蔡奎 封面图
蔡奎 (Kui Cai)
DOI:10.1109/TVT.2018.2883509delete
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摘要

摘要

En 中文
In this paper, we propose a generalized channel decoding scheme for nonbinary physical-layer network coding (CD-NC) in two-way relay channels (TWRCs), where two source nodes A and B exchange their nonbinary symbols via a relay. The two sources use the same nonbinary low-density parity-check (LDPC) channel code over the integer ring Z(M) and M-pulse-amplitude modulation, respectively. The existing channel decoding schemes for nonbinary network coding suffer severe rate loss compared with the cut-set bound of TWRC, especially in the low-to-medium signal-to-noise ratio regime. The proposed CD-NC can decrease the rate loss. Our contributions are as follows: 1) We develop a generalized nonbinary sum product algorithm (G-SPA) for CD-NC according to the principle of virtual encoding of the superimposed symbols. Simulation results show that our CD-NC can achieve significant performance gains over the conventional non-binary network coding for both additive white Gaussian noise and fading channels; and 2) We exploit two-dimensional fast-Fourier-transform-based belief propagation (2-D-FFT-BP) and extended min-sum (EMS) decoding algorithms to reduce the decoding complexity of G-SPA. Simulation results show that the 2-D-FFT-BP has the same performance asG-SPA, while EMS can greatly reduce the decoding complexity of G-SPA at the cost of slight performance degradation.
Keyword:
Physical-layer network coding
two-way relay channel (TWRC)
nonbinary LDPC
channel decoding
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期刊

IEEE Transactions on Vehicular Technology 封面图
IEEE Transactions on Vehicular Technology
IF:
7.1
论文数:
1.8W
被引数:
6.6W

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S
singapore university of technology & design
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2.8K
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被引数: 5
C
Chinese University of Hong Kong
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被引数: 5.6W
F
fuzhou university
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3.3W
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被引数: 31
G
guangdong university of technology
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3.0W
论文数: 2.0W
被引数: 36
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