Publication:
Minimum length scheduling for multi-cell wireless powered communication networks

dc.contributor.departmentN/A
dc.contributor.departmentN/A
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.kuauthorSalık, Elif Dilek
dc.contributor.kuauthorÖnalan, Aysun Gurur
dc.contributor.kuauthorErgen, Sinem Çöleri
dc.contributor.kuprofilePhD Student
dc.contributor.kuprofilePhD Student
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Electrical and Electronics Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokidN/A
dc.contributor.yokidN/A
dc.contributor.yokid7211
dc.date.accessioned2024-11-10T00:09:01Z
dc.date.issued2020
dc.description.abstractWireless powered communication networks (WPCNs) will be a major enabler of massive machine type communications (MTCs), which is a major service domain for 5G and beyond systems. These MTC networks will be deployed by using low-power transceivers and a very limited set of transmission configurations. We investigate a novel minimum length scheduling problem for multi-cell full-duplex wireless powered communication networks to determine the optimal power control and scheduling for constant rate transmission model. The formulated optimization problem is combinatorial in nature and, thus, difficult to solve for the global optimum. As a solution strategy, first, we decompose the problem into the power control problem (PCP) and scheduling problem. For the PCP, we propose the optimal polynomial time algorithm based on the evaluation of Perron–Frobenius conditions. For the scheduling problem, we propose a heuristic algorithm that aims to maximize the number of concurrently transmitting users by maximizing the allowable interference on each user without violating the signal-to-noise-ratio (SNR) requirements. Through extensive simulations, we demonstrate a 50% reduction in the schedule length by using the proposed algorithm in comparison to unscheduled concurrent transmissions.
dc.description.indexedbyWoS
dc.description.indexedbyPubMed
dc.description.indexedbyScopus
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorshipScientific and Technological Research Council of Turkey [117E241] This work is supported by Scientific and Technological Research Council of Turkey Grant #117E241.
dc.identifier.doiN/A
dc.identifier.isbn978-1-7281-4490-0
dc.identifier.issn2166-9570
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-85094130362
dc.identifier.urihttps://hdl.handle.net/20.500.14288/17057
dc.identifier.wos631491700081
dc.keywordsN/A
dc.languageEnglish
dc.publisherIEEE
dc.source2020 IEEE 31st Annual International Symposium on Personal, indoor and Mobile Radio Communications (IEEE Pimrc)
dc.subjectComputer science
dc.subjectInformation technology
dc.subjectInformation science
dc.subjectComputer engineering, lectrical Electrical electronics engineering
dc.subjectTelecommunications
dc.titleMinimum length scheduling for multi-cell wireless powered communication networks
dc.typeConference proceeding
dspace.entity.typePublication
local.contributor.authorid0000-0001-6974-0320
local.contributor.authorid0000-0002-1581-8206
local.contributor.authorid0000-0002-7502-3122
local.contributor.kuauthorSalık, Elif Dilek
local.contributor.kuauthorÖnalan, Aysun Gurur
local.contributor.kuauthorErgen, Sinem Çöleri
relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0

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