Path-Following Algorithms for Beamforming and Signal Splitting in RF Energy Harvesting Networks

Nasir, AA; Tuan, HD; Ngo, DT; Durrani, S; Kim, DI

Path-Following Algorithms for Beamforming and Signal Splitting in RF Energy Harvesting Networks

Nasir, AA Tuan, HD

Ngo, DT Durrani, S Kim, DI

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Publication Type:: Journal Article
Citation:: IEEE Communications Letters, 2016, 20 (8), pp. 1687 - 1690
Issue Date:: 2016-08-01

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Field	Value	Language
dc.contributor.author	Nasir, AA	en_US
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Ngo, DT	en_US
dc.contributor.author	Durrani, S	en_US
dc.contributor.author	Kim, DI	en_US
dc.date.issued	2016-08-01	en_US
dc.identifier.citation	IEEE Communications Letters, 2016, 20 (8), pp. 1687 - 1690	en_US
dc.identifier.issn	1089-7798	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122967
dc.description.abstract	© 2016 IEEE. We consider the joint design of transmit beamforming and receive signal-splitting ratios in the downlink of a wireless network with simultaneous radio frequency information and energy transfer. Under constraints on the signal-to-interference-plus-noise ratio at each user and the total transmit power at the base station, the design objective is to maximize either the sum harvested energy or the minimum harvested energy. We develop a computationally efficient path-following method to solve these challenging nonconvex optimization problems. We mathematically show that the proposed algorithms iteratively progress and converge to locally optimal solutions. Simulation results further show that these locally optimal solutions are the same as the globally optimal solutions for the considered practical network settings.	en_US
dc.relation.ispartof	IEEE Communications Letters	en_US
dc.relation.isbasedon	10.1109/LCOMM.2016.2578921	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Path-Following Algorithms for Beamforming and Signal Splitting in RF Energy Harvesting Networks	en_US
dc.type	Journal Article
utslib.citation.volume	8	en_US
utslib.citation.volume	20	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
utslib.copyright.status	closed_access	*
pubs.issue	8	en_US
pubs.publication-status	Published	en_US
pubs.volume	20	en_US

Abstract:

© 2016 IEEE. We consider the joint design of transmit beamforming and receive signal-splitting ratios in the downlink of a wireless network with simultaneous radio frequency information and energy transfer. Under constraints on the signal-to-interference-plus-noise ratio at each user and the total transmit power at the base station, the design objective is to maximize either the sum harvested energy or the minimum harvested energy. We develop a computationally efficient path-following method to solve these challenging nonconvex optimization problems. We mathematically show that the proposed algorithms iteratively progress and converge to locally optimal solutions. Simulation results further show that these locally optimal solutions are the same as the globally optimal solutions for the considered practical network settings.

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http://hdl.handle.net/10453/122967