Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

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

Simple item page
dc.contributor.authorNasir, Ali Arshaden_AU
dc.contributor.authorNgo, Duy Trongen_AU
dc.contributor.authorTuan, Hoang Duongen_AU
dc.contributor.authorDurrani, Salmanen_AU
dc.date.accessioned2018-09-21T03:08:07Z
dc.date.available2018-09-21T03:08:07Z
dc.date.created2015en_AU
dc.description.abstractConsidering 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 signalto-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_AU
dc.description.sponsorshipARC Discovery Projects Grant DP140101133en_AU
dc.format.extent5 pagesen_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.isbn978-1-4799-7591-4en_AU
dc.identifier.urihttp://hdl.handle.net/1885/147772
dc.language.isoen_AUen_AU
dc.provenancehttps://www.ieee.org/publications/rights/index.html#ieee-open-access..."The revised policy reaffirms the principle that authors are free to post the accepted version of their articles on their personal websites or those of their employers." from SHERPA/RoMEO site (as at 10/09/18).en_AU
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_AU
dc.relationhttp://purl.org/au-research/grants/arc/DP140101133en_AU
dc.rightsIEEEen_AU
dc.subjectNonsmooth optimization, semidefinite programming, simultaneous wireless information and power transfer, transmit beamforming.en_AU
dc.titleIterative optimization for max-min SINR in dense small-cell multiuser MISO SWIPT systemen_AU
dc.typeConference paperen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.lastpage1396en_AU
local.bibliographicCitation.startpage1392en_AU
local.identifier.doi10.1109/GlobalSIP.2015.7418427en_AU
local.publisher.urlhttp://www.ieee.org/index.htmlen_AU
local.type.statusAccepted Versionen_AU

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
C9_ali.pdf
Size:
318.5 KB
Format:
Adobe Portable Document Format
Description:
Author/s Accepted Manuscript (AAM) / Post-print
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
884 B
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS