Low Complexity Soft Decoding For Physical Layer Network Coding With Coded Modulation

2020 ◽  
Author(s):  
Satoshi DENNO ◽  
Tomoya TANIKAWA ◽  
Hideaki TSUGITA ◽  
Yafei HOU
Keyword(s):  
Network Coding ◽  
Low Complexity ◽  
Physical Layer ◽  
Coded Modulation ◽  
Soft Decoding ◽  
Physical Layer Network Coding

Application of Coded Modulation for Physical-Layer Network Coding

2015 ◽  
Vol 713-715 ◽  
pp. 1068-1072
Author(s):  
Quan Sheng Yuan ◽  
Yong Jiang Hu ◽  
Chang Long Wang ◽  
Zhi Min Yang
Keyword(s):  
Network Coding ◽  
System Performance ◽  
Transmission Rate ◽  
Physical Layer ◽  
Coded Modulation ◽  
System Throughput ◽  
Future Research ◽  
Physical Layer Network Coding ◽  
Communication System Performance ◽  
Inter Communication

It has been proved that Physical-layer Network Coding (PNC) can boost the system throughput obviously and decrease the error rate by reducing the time slots of inter-communication,which makes signal processing efficient and reliable.Coded Modulation (CM) considers coding and modulation as a whole,which makes coding and modulation effective without decreasing system transmission rate ,to guarantee bandwith efficiency.In this paper,the basic idea of the CM and its implementation are introduced.We analyze the effect of the combination of CM and PNC for communication system performance,which provide the foundation for future research.

scholarly journals Low-Complexity Estimation for Spatially Modulated Physical-Layer Network Coding Systems

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Huu Minh Nguyen ◽  
Xuan Nam Tran ◽  
Van Bien Pham ◽  
Cong Dinh Nguyen
Keyword(s):  
Computational Complexity ◽  
Network Coding ◽  
Interference Cancellation ◽  
Relay Node ◽  
Low Complexity ◽  
Physical Layer ◽  
Spatial Modulation ◽  
Coding System ◽  
Error Performance ◽  
Physical Layer Network Coding

This paper proposes a low-complexity signal estimator at the relay node for a spatially modulated physical-layer network coding system. In the considered system, the two terminal nodes use spatial modulation to transmit their signals to the relay node during the multiple access phase. Based on the channel quantization method, we propose a low-complexity estimator which can detect both antenna indices and M-QAM symbols using successive interference cancellation (SIC). Moreover, we design signal constellations for a combined signal component at the relay for arbitrary M-QAM modulation. The obtained constellations allow further reduction of the computational complexity of the estimator. Performance evaluations show that the proposed estimator can achieve near-optimal error performance while requiring significantly less computational complexity compared with the maximum-likelihood detector, particularly with high-order modulation.

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