Paper Info
Title
Low Complexity Soft Decoding For Physical Layer Network Coding With Coded Modulation
Abstract
This paper proposes low complexity soft decoding for physical layer network coding with coded modulation that can be applied to bi-directional relay systems with quadrature amplitude modulations (QAMs). Although the received signal at the relay is superposition of the two transmission signals from the terminals in the systems, the signal detection and the channel decoding can be carried out by the proposed decoding with low computational complexity, because the proposed soft decoding can generates the soft input signal with the use of the region detection. The proposed decoding achieves a soft decoding gain without the prohibitive exhaustive search. The proposed decoding can keep the complexity even when higher order QAMs are applied. The performance of the proposed soft decoding is evaluated by computer simulation in a two hop MIMO-OFDM bi-directional relay system. The proposed decoding attains a soft decoding gain of about 2.0dB at the BER of 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-5</sup> in spite of cardinality of QAMs.
Year
DOI
Venue
2020
10.1109/ICSPCS50536.2020.9310008
2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS)
Keywords
DocType
ISBN
low complexity soft decoding,physical layer network coding,coded modulation,bi-directional relay systems,quadrature amplitude modulations,received signal,transmission signals,signal detection,channel decoding,low computational complexity,soft input signal,soft decoding gain,hop MIMO-OFDM bi-directional relay system,decoding attains,noise figure 2.0 dB
Conference
978-1-7281-9973-3
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Satoshi Denno17625.60
Tomoya Tanikawa200.34
Hideaki Tsugita300.34
Yafei Hou41211.89