Optimal energy efficiency link adaptation in IEEE 802.15.6 IR-UWB body area networks

Mohammadi, MS; Dutkiewicz, E; Zhang, Q; Huang, X

Optimal energy efficiency link adaptation in IEEE 802.15.6 IR-UWB body area networks

Mohammadi, MS Dutkiewicz, E

Zhang, Q Huang, X

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Publication Type:: Journal Article
Citation:: IEEE Communications Letters, 2014, 18 (12), pp. 2193 - 2196
Issue Date:: 2014-12-01

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Field	Value	Language
dc.contributor.author	Mohammadi, MS	en_US
dc.contributor.author	Dutkiewicz, E https://orcid.org/0000-0002-4268-9286	en_US
dc.contributor.author	Zhang, Q	en_US
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732	en_US
dc.date.issued	2014-12-01	en_US
dc.identifier.citation	IEEE Communications Letters, 2014, 18 (12), pp. 2193 - 2196	en_US
dc.identifier.issn	1089-7798	en_US
dc.identifier.uri	http://hdl.handle.net/10453/30953
dc.description.abstract	© 2014 IEEE. We propose a novel link adaptation mechanism to maximize energy efficiency in IEEE 802.15.6 impulse radio ultra wideband (IR-UWB) wireless body area networks (WBANs). We consider noncoherent energy detection and autocorrelation receivers, suitable for low complexity implementations. The amount of captured energy is first modeled for the on-body WBAN channel. Using our energy capture model and Gaussian approximations for the decision statistic, the error performance of various physical layer modes of the IEEE 802.15.6 standard is derived assuming intra-symbol interference. We refer to the IEEE 802.15.6 specification as a use case. The proposed adaptation scheme can be applied to any other IR-UWB system with noncoherent receivers and is based on the estimated signal to noise ratio and the channel's energy capture index for which we propose unbiased estimators.	en_US
dc.relation.ispartof	IEEE Communications Letters	en_US
dc.relation.isbasedon	10.1109/LCOMM.2014.2364226	en_US
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Optimal energy efficiency link adaptation in IEEE 802.15.6 IR-UWB body area networks	en_US
dc.type	Journal Article
utslib.citation.volume	12	en_US
utslib.citation.volume	18	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	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	open_access
pubs.issue	12	en_US
pubs.publication-status	Published	en_US
pubs.volume	18	en_US

Abstract:

© 2014 IEEE. We propose a novel link adaptation mechanism to maximize energy efficiency in IEEE 802.15.6 impulse radio ultra wideband (IR-UWB) wireless body area networks (WBANs). We consider noncoherent energy detection and autocorrelation receivers, suitable for low complexity implementations. The amount of captured energy is first modeled for the on-body WBAN channel. Using our energy capture model and Gaussian approximations for the decision statistic, the error performance of various physical layer modes of the IEEE 802.15.6 standard is derived assuming intra-symbol interference. We refer to the IEEE 802.15.6 specification as a use case. The proposed adaptation scheme can be applied to any other IR-UWB system with noncoherent receivers and is based on the estimated signal to noise ratio and the channel's energy capture index for which we propose unbiased estimators.

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http://hdl.handle.net/10453/30953