Modeling a composite molecular communication channel

Al-Zu'bi, MM; Sanagavarapu, AM

Modeling a composite molecular communication channel

Al-Zu'bi, MM Sanagavarapu, AM

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Communications, 2018, 66 (8), pp. 3420 - 3433
Issue Date:: 2018-08-01

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Field	Value	Language
dc.contributor.author	Al-Zu'bi, MM	en_US
dc.contributor.author	Sanagavarapu, AM https://orcid.org/0000-0002-4503-5851	en_US
dc.date.available	2020-05-25T19:14:57Z
dc.date.issued	2018-08-01	en_US
dc.identifier.citation	IEEE Transactions on Communications, 2018, 66 (8), pp. 3420 - 3433	en_US
dc.identifier.issn	0090-6778	en_US
dc.identifier.uri	http://hdl.handle.net/10453/138490
dc.description.abstract	© 1972-2012 IEEE. This paper deals with development of diffusive propagation model for molecular communication in composite biological microenvironments with multiple regions (or layers) each with distinct diffusion properties to understand the transport of information molecules. We propose generalized analytical and simulation approaches for modeling a composite, diffusive, and molecular communication channel for arbitrary placement of the transmitting and receiving nano-machines. We derive a generalized closed-form expression for the channel impulse response of a three dimensionally (3-D) diffusive medium that has 'N' regions. The results from the proposed particle-based simulator are validated with the exact analytical solution. The pulse peak amplitude, pulse peak time, and pulse width are derived to evaluate the system performance using both analytical and simulation approaches. It is shown that the channel impulse response and other communication metrics are significantly affected by the diffusion coefficients, region thickness, interface properties, and the positions of transmitter and receiver nano-machines with respect to the interfaces.	en_US
dc.relation.ispartof	IEEE Transactions on Communications	en_US
dc.relation.isbasedon	10.1109/TCOMM.2018.2813365	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Modeling a composite molecular communication channel	en_US
dc.type	Journal Article
utslib.citation.volume	8	en_US
utslib.citation.volume	66	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	en_US
utslib.for	0804 Data Format	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 Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access	*
pubs.issue	8	en_US
pubs.publication-status	Published	en_US
pubs.volume	66	en_US

Abstract:

© 1972-2012 IEEE. This paper deals with development of diffusive propagation model for molecular communication in composite biological microenvironments with multiple regions (or layers) each with distinct diffusion properties to understand the transport of information molecules. We propose generalized analytical and simulation approaches for modeling a composite, diffusive, and molecular communication channel for arbitrary placement of the transmitting and receiving nano-machines. We derive a generalized closed-form expression for the channel impulse response of a three dimensionally (3-D) diffusive medium that has 'N' regions. The results from the proposed particle-based simulator are validated with the exact analytical solution. The pulse peak amplitude, pulse peak time, and pulse width are derived to evaluate the system performance using both analytical and simulation approaches. It is shown that the channel impulse response and other communication metrics are significantly affected by the diffusion coefficients, region thickness, interface properties, and the positions of transmitter and receiver nano-machines with respect to the interfaces.

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http://hdl.handle.net/10453/138490