Publication:
A communication theoretical modeling of single-layer graphene photodetectors and efficient multireceiver diversity combining

dc.contributor.departmentN/A
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.kuauthorGülbahar, Burhan
dc.contributor.kuauthorAkan, Özgür Barış
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.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokid234525
dc.contributor.yokid6647
dc.date.accessioned2024-11-09T23:29:06Z
dc.date.issued2012
dc.description.abstractGraphene with groundbreaking properties has tremendous impact on physical sciences as 2-D atomic layer carbon sheet. Its unique electronic and photonic properties lead to applications such as transistors, graphene photodetectors (GPDs), and electronic circuit components. Metal-graphene-metal (MGM) GPDs with single-or multilayer graphene sheets are promising for future nanoscale optical communication architectures because of wide range absorption from far infrared to visible spectrum, fast carrier velocity, and advanced production techniques due to planar geometry. In this paper, signal-to-noise ratio (SNR), bit-error rate (BER), and data rate performances of nanoscale single-layer symmetric MGM photodetectors are analyzed for intensity modulation and direct detection (IM/DD) modulation. Shot and thermal noise limited (NL) performances are analyzed emphasizing graphene layer width dependence and domination of thermal NL characteristics for practical power levels. Tens of Gbit/s data rates are shown to be achievable with very low BERs for single-receiver (SR) GPDs. Furthermore, multireceiver (MR) GPDs and parallel line-scan (PLS) network topology are defined improving the efficiency of symmetric GPDs. SNR performance of SR PLS channels are both improved and homogenized with MR devices having the same total graphene area by optimizing their positions with maxmin solutions and using maximal ratio and equal gain diversity combining techniques.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.issue3
dc.description.openaccessNO
dc.description.sponsorshipTurkish Scientific and Technical Research Council (TUBITAK) [109E257]
dc.description.sponsorshipTurkish National Academy of Sciences
dc.description.sponsorshipIBM This work was supported in part by the Turkish Scientific and Technical Research Council (TUBITAK) under Grant #109E257, by the Turkish National Academy of Sciences Distinguished Young Scientist Award Program (TUBA-GEBIP), and by IBM through IBM Faculty Award. The review of this paper was arranged by Associate Editor M.P. Anantram.
dc.description.volume11
dc.identifier.doi10.1109/TNANO.2012.2187068
dc.identifier.eissn1941-0085
dc.identifier.issn1536-125X
dc.identifier.scopus2-s2.0-84860863866
dc.identifier.urihttp://dx.doi.org/10.1109/TNANO.2012.2187068
dc.identifier.urihttps://hdl.handle.net/20.500.14288/11994
dc.identifier.wos303894600025
dc.keywordsDiversity combining
dc.keywordsGraphene
dc.keywordsOptical network
dc.keywordsParallel line-scan (PLS)
dc.keywordsPhotodetector
dc.languageEnglish
dc.publisherIeee-Inst Electrical Electronics Engineers Inc
dc.sourceIeee Transactions On Nanotechnology
dc.subjectEngineering
dc.subjectElectrical electronic engineering
dc.subjectNanoscience
dc.subjectNanotechnology
dc.subjectMaterials science
dc.subjectPhysics
dc.subjectApplied physics
dc.titleA communication theoretical modeling of single-layer graphene photodetectors and efficient multireceiver diversity combining
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authorid0000-0003-3756-3280
local.contributor.authorid0000-0003-2523-3858
local.contributor.kuauthorGülbahar, Burhan
local.contributor.kuauthorAkan, Özgür Barış
relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0

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