Publication: Autoencoder-based enhanced joint delay-Doppler index modulation for OTFS modulation
dc.contributor.department | Department of Electrical and Electronics Engineering | |
dc.contributor.kuauthor | Tek, Yusuf İslam | |
dc.contributor.kuauthor | Başar, Ertuğrul | |
dc.contributor.other | Department of Electrical and Electronics Engineering | |
dc.contributor.schoolcollegeinstitute | Graduate School of Sciences and Engineering | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.date.accessioned | 2024-12-29T09:36:02Z | |
dc.date.issued | 2024 | |
dc.description.abstract | Orthogonal 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.indexedby | WoS | |
dc.description.indexedby | Scopus | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | TÜBİTAK | |
dc.description.sponsors | This work is supported by TUBITAK under Grant Number 121C254. | |
dc.identifier.doi | 10.1109/SIU61531.2024.10601001 | |
dc.identifier.isbn | 979-8-3503-8897-8;979-8-3503-8896-1 | |
dc.identifier.issn | 2165-0608 | |
dc.identifier.quartile | N/A | |
dc.identifier.scopus | 2-s2.0-85200890507 | |
dc.identifier.uri | https://doi.org/10.1109/SIU61531.2024.10601001 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/21914 | |
dc.identifier.wos | 1297894700223 | |
dc.keywords | Autoencoder (AE) | |
dc.keywords | Deep learning | |
dc.keywords | Delay-Doppler communication | |
dc.keywords | Index modulation (IM) | |
dc.keywords | OTFS | |
dc.keywords | Subframe/Altçerçeve | |
dc.keywords | Derin öğrenme | |
dc.keywords | Gecikme-Doppler haberleşmesi | |
dc.keywords | Otokodlayıcı | |
dc.keywords | OTFS | |
dc.keywords | İndis modülasyonu | |
dc.language | en | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.source | 32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Proceedings | |
dc.subject | Bit error rate | |
dc.subject | Domain analysis | |
dc.subject | Orthogonal frequency division multiplexing | |
dc.title | Autoencoder-based enhanced joint delay-Doppler index modulation for OTFS modulation | |
dc.title.alternative | OTFS Modülasyonu için otokodlayıcı tabanlı geliştirilmiş ortak gecikme-Doppler indis modülasyonu | |
dc.type | Conference proceeding | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Tek, Yusuf İslam | |
local.contributor.kuauthor | Başar, Ertuğrul | |
relation.isOrgUnitOfPublication | 21598063-a7c5-420d-91ba-0cc9b2db0ea0 | |
relation.isOrgUnitOfPublication.latestForDiscovery | 21598063-a7c5-420d-91ba-0cc9b2db0ea0 |