Low Complexity Soft Decoding for Physical Layer Network Coding with Coded Modulation

Satoshi Denno, Tomoya Tanikawa, Hideaki Tsugita, Yafei Hou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 10-5 in spite of cardinality of QAMs.

Original languageEnglish
Title of host publication2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings
EditorsTadeusz A Wysocki, Beata J Wysocki
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728199726
DOIs
Publication statusPublished - Dec 14 2020
Event14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Virtual, Adelaide, Australia
Duration: Dec 14 2020Dec 16 2020

Publication series

Name2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings

Conference

Conference14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020
CountryAustralia
CityVirtual, Adelaide
Period12/14/2012/16/20

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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