Publication:
Autoencoder-based enhanced joint delay-Doppler index modulation for OTFS modulation

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dc.conference.dateMAY 15-18, 2024
dc.conference.locationTarsus Univ Campus, Mersin, TURKEY
dc.conference.organizer32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Proceedings
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.departmentCoreLab (Communications Research and Innovation Laboratory)
dc.contributor.facultymemberYes
dc.contributor.kuauthorBaşar, Ertuğrul
dc.contributor.kuauthorTek, Yusuf İslam
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteLaboratory
dc.date.accessioned2024-12-29T09:36:02Z
dc.date.issued2024
dc.description.abstractOrthogonal time frequency space (OTFS) provides highly effective performance in channels that exhibit both time and frequency variability. OTFS can fully leverage channel diversity by multiplexing data symbols on the whole delay-Doppler domain. However, improving the reliability of OTFS systems is essential to meet the rigid requirements of next-generation communication technologies. Addressing these challenges, we introduce a novel approach named autoencoder (AE)based enhanced joint delay-Doppler index modulation OTFS (AEE-JDDIM-OTFS). This strategy selectively activates either delay or Doppler resource bins within a subframe, utilizing multidimensional symbol vectors created by the AE to boost error performance. The capability of AE to generate symbols with increased squared minimum Euclidean distance (SMED) plays a crucial role in this enhancement. Computer simulation outcomes confirm that AEE-JDDIM-OTFS surpasses traditional OTFS and other comparative schemes in bit error rate performance. © 2024 IEEE.
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessN/A
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorshipThis work is supported by TUBITAK under Grant Number 121C254.
dc.description.studentonlypublicationNo
dc.description.studentpublicationYes
dc.description.versionN/A
dc.identifier.WoSQuartileN/A
dc.identifier.doi10.1109/SIU61531.2024.10601001
dc.identifier.embargoN/A
dc.identifier.grantno121C254
dc.identifier.isbn9798350388978
dc.identifier.isbn9798350388961
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85200890507
dc.identifier.urihttps://doi.org/10.1109/SIU61531.2024.10601001
dc.identifier.urihttps://hdl.handle.net/20.500.14288/21914
dc.identifier.wos001297894700223
dc.keywordsAutoencoder (AE)
dc.keywordsDeep learning
dc.keywordsDelay-Doppler communication
dc.keywordsIndex modulation (IM)
dc.keywordsOTFS
dc.keywordsSubframe/Altçerçeve
dc.keywordsDerin öğrenme
dc.keywordsGecikme-Doppler haberleşmesi
dc.keywordsOtokodlayıcı
dc.keywordsOTFS
dc.keywordsİndis modülasyonu
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofSignal Processing and Communications Applications Conference
dc.relation.openaccessN/A
dc.rightsN/A
dc.subjectBit error rate
dc.subjectDomain analysis
dc.subjectOrthogonal frequency division multiplexing
dc.titleAutoencoder-based enhanced joint delay-Doppler index modulation for OTFS modulation
dc.title.alternativeOTFS Modülasyonu için otokodlayıcı tabanlı geliştirilmiş ortak gecikme-Doppler indis modülasyonu
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorTek, Yusuf İslam
local.contributor.kuauthorBaşar, Ertuğrul
relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication65c7c6b7-d90c-4bb1-a1cb-054f13135330
relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0
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relation.isParentOrgUnitOfPublication20385dee-35e7-484b-8da6-ddcc08271d96
relation.isParentOrgUnitOfPublication.latestForDiscovery8e756b23-2d4a-4ce8-b1b3-62c794a8c164

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