Iterative optimization for max-min SINR in dense small-cell multiuser MISO SWIPT system

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

Iterative optimization for max-min SINR in dense small-cell multiuser MISO SWIPT system

Nasir, AA Ngo, DT Tuan, HD

Durrani, S

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Publication Type:: Conference Proceeding
Citation:: 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015, 2016, pp. 1392 - 1396
Issue Date:: 2016-02-23

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Field	Value	Language
dc.contributor.author	Nasir, AA	en_US
dc.contributor.author	Ngo, DT	en_US
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Durrani, S	en_US
dc.date.issued	2016-02-23	en_US
dc.identifier.citation	2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015, 2016, pp. 1392 - 1396	en_US
dc.identifier.isbn	9781479975914	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122750
dc.description.abstract	© 2015 IEEE. Considering a dense small-cell network with simultaneous wireless information and power transfer (SWIPT), this work jointly designs transmit beamformers at the base stations (BSs) and receive power splitting ratios at the users (UEs). Our objectives is to maximize the minimum UE signal-to-interference-plus-noise-ratio (SINR) under BS transmit power and UE minimum harvested energy constraints. This problem is highly nonconvex, for which semidefinite programming (SDP) relaxation may even fail to locate a feasible solution. We propose an efficient spectral optimization method by expressing the rank-one constraints as a single reverse convex nonsmooth constraint and incorporating it in the optimization objective. The proposed algorithm practically achieves the theoretical bound given by SDP relaxation with almost similar complexity.	en_US
dc.relation.ispartof	2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015	en_US
dc.relation.isbasedon	10.1109/GlobalSIP.2015.7418427	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Iterative optimization for max-min SINR in dense small-cell multiuser MISO SWIPT system	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic 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

Abstract:

© 2015 IEEE. Considering a dense small-cell network with simultaneous wireless information and power transfer (SWIPT), this work jointly designs transmit beamformers at the base stations (BSs) and receive power splitting ratios at the users (UEs). Our objectives is to maximize the minimum UE signal-to-interference-plus-noise-ratio (SINR) under BS transmit power and UE minimum harvested energy constraints. This problem is highly nonconvex, for which semidefinite programming (SDP) relaxation may even fail to locate a feasible solution. We propose an efficient spectral optimization method by expressing the rank-one constraints as a single reverse convex nonsmooth constraint and incorporating it in the optimization objective. The proposed algorithm practically achieves the theoretical bound given by SDP relaxation with almost similar complexity.

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http://hdl.handle.net/10453/122750