Modeling and Analysis of Interference for Diffusion-Based Nanoscale Networks with Spatially Distributed Transmitters

Mai, TC; Hoang, TM; Tuan, HD; Di Renzo, M; Duong, TQ

Modeling and Analysis of Interference for Diffusion-Based Nanoscale Networks with Spatially Distributed Transmitters

Mai, TC Hoang, TM Tuan, HD

Di Renzo, M Duong, TQ

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Publication Type:: Conference Proceeding
Citation:: IEEE Vehicular Technology Conference, 2017, 2017-June
Issue Date:: 2017-11-14

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Field	Value	Language
dc.contributor.author	Mai, TC	en_US
dc.contributor.author	Hoang, TM	en_US
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Di Renzo, M	en_US
dc.contributor.author	Duong, TQ	en_US
dc.date.issued	2017-11-14	en_US
dc.identifier.citation	IEEE Vehicular Technology Conference, 2017, 2017-June	en_US
dc.identifier.isbn	9781509059324	en_US
dc.identifier.issn	1550-2252	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126006
dc.description.abstract	© 2017 IEEE. We consider a diffusion-based nano-network with N spatially distributed transmitters and one receiver. While the transmitters are linked in a unified entity to perform one transmission, the receiver is large enough to be viewed as a plane. Messages are encoded into the number of nano-scale molecules. Based on these assumptions, we analyze the signal-to-interference ratio, which is based on the average numbers of absorbed molecules. Moreover, we present an approach to interference alignment for molecular communications.	en_US
dc.relation.ispartof	IEEE Vehicular Technology Conference	en_US
dc.relation.isbasedon	10.1109/VTCSpring.2017.8108374	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Modeling and Analysis of Interference for Diffusion-Based Nanoscale Networks with Spatially Distributed Transmitters	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2017-June	en_US
utslib.for	0902 Automotive Engineering	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
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	2017-June	en_US

Abstract:

© 2017 IEEE. We consider a diffusion-based nano-network with N spatially distributed transmitters and one receiver. While the transmitters are linked in a unified entity to perform one transmission, the receiver is large enough to be viewed as a plane. Messages are encoded into the number of nano-scale molecules. Based on these assumptions, we analyze the signal-to-interference ratio, which is based on the average numbers of absorbed molecules. Moreover, we present an approach to interference alignment for molecular communications.

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http://hdl.handle.net/10453/126006