A novel linear physical-layer network coding scheme for Y-Channel without transmitter CSI

Guo, J; Yang, T; Yuan, J; Zhang, JA

A novel linear physical-layer network coding scheme for Y-Channel without transmitter CSI

Guo, J Yang, T

Yuan, J Zhang, JA

Permalink

Publication Type:: Journal Article
Citation:: IEEE Transactions on Vehicular Technology, 2018, 67 (10), pp. 10049 - 10053
Issue Date:: 2018-10-01

Closed Access

	Filename	Description	Size
	08410766.pdf	Published Version	663.34 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Guo, J	en_US
dc.contributor.author	Yang, T https://orcid.org/0000-0002-9870-6866	en_US
dc.contributor.author	Yuan, J	en_US
dc.contributor.author	Zhang, JA https://orcid.org/0000-0002-6102-3762	en_US
dc.date.issued	2018-10-01	en_US
dc.identifier.citation	IEEE Transactions on Vehicular Technology, 2018, 67 (10), pp. 10049 - 10053	en_US
dc.identifier.issn	0018-9545	en_US
dc.identifier.uri	http://hdl.handle.net/10453/128981
dc.description.abstract	© 1967-2012 IEEE. We propose a novel linear physical-layer network coding (NC) scheme for a fading Y-channel without channel state information at transmitters. In this three-user scheme, each user intends to realize a full data exchange with the other two users via a relay. Instead of directly decoding the users' messages from the received signal, the relay determines NC generator matrices and reconstructs linear NC codewords from its received signals to facilitate the information exchange. We present an explicit solution for NC generator matrices that minimize the NC error probability at high SNRs. We also present and prove an approximation of the NC error probability of the proposed scheme at high SNRs. Numerical results show that the proposed scheme outperforms existing ones, and its performance can be well characterized by the approximation.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DE150100636
dc.relation.ispartof	IEEE Transactions on Vehicular Technology	en_US
dc.relation.isbasedon	10.1109/TVT.2018.2855809	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Automobile Design & Engineering	en_US
dc.title	A novel linear physical-layer network coding scheme for Y-Channel without transmitter CSI	en_US
dc.type	Journal Article
utslib.citation.volume	10	en_US
utslib.citation.volume	67	en_US
utslib.for	0803 Computer Software	en_US
utslib.for	0902 Automotive Engineering	en_US
utslib.for	1099 Other Technology	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
utslib.for	10 Technology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access	*
pubs.issue	10	en_US
pubs.publication-status	Published	en_US
pubs.volume	67	en_US

Abstract:

© 1967-2012 IEEE. We propose a novel linear physical-layer network coding (NC) scheme for a fading Y-channel without channel state information at transmitters. In this three-user scheme, each user intends to realize a full data exchange with the other two users via a relay. Instead of directly decoding the users' messages from the received signal, the relay determines NC generator matrices and reconstructs linear NC codewords from its received signals to facilitate the information exchange. We present an explicit solution for NC generator matrices that minimize the NC error probability at high SNRs. We also present and prove an approximation of the NC error probability of the proposed scheme at high SNRs. Numerical results show that the proposed scheme outperforms existing ones, and its performance can be well characterized by the approximation.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/128981