Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/162635
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dc.contributor.authorKhan, Latif U.en_US
dc.contributor.authorSaad, Waliden_US
dc.contributor.authorNiyato, Dusiten_US
dc.contributor.authorHan, Zhuen_US
dc.contributor.authorHong, Choong Seonen_US
dc.date.accessioned2022-11-02T00:53:28Z-
dc.date.available2022-11-02T00:53:28Z-
dc.date.issued2022-
dc.identifier.citationKhan, L. U., Saad, W., Niyato, D., Han, Z. & Hong, C. S. (2022). Digital-twin-enabled 6G: vision, architectural trends, and future directions. IEEE Communications Magazine, 60(1), 74-80. https://dx.doi.org/10.1109/MCOM.001.21143en_US
dc.identifier.issn0163-6804en_US
dc.identifier.urihttps://hdl.handle.net/10356/162635-
dc.description.abstractInternet of Everything (IoE) applications such as haptics, human-computer interaction, and extended reality, using the sixth-generation (6G) of wireless systems have diverse requirements in terms of latency, reliability, data rate, and user-defined performance metrics. Therefore, enabling IoE applications over 6G requires a new framework that can be used to manage, operate, and optimize the 6G wireless system and its underlying IoE services. Such a new framework for 6G can be based on digital twins. Digital twins use a virtual representation of the 6G physical system along with the associated algorithms (e.g., machine learning, optimization), communication technologies (e.g., millimeter-wave and terahertz communication), computing systems (e.g., edge computing and cloud computing), as well as privacy and security-related technologists (e.g., blockchain). First, we present the key design requirements for enabling 6G through the use of a digital twin. Next, the architectural components and trends such as edge-based twins, cloud-based-twins, and edge-cloud-based twins are presented. Furthermore, we provide a comparative description of various twins. Finally, we outline and recommend guidelines for several future research directions.en_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Communications Magazineen_US
dc.rights© 2022 IEEE. All rights reserved.en_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleDigital-twin-enabled 6G: vision, architectural trends, and future directionsen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.identifier.doi10.1109/MCOM.001.21143-
dc.identifier.scopus2-s2.0-85124641742-
dc.identifier.issue1en_US
dc.identifier.volume60en_US
dc.identifier.spage74en_US
dc.identifier.epage80en_US
dc.subject.keywords6Gen_US
dc.subject.keywordsData-Rateen_US
dc.description.acknowledgementThis work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. No. 2020R1A4A1018607) and by Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No.2019-0-01287, Evolvable Deep Learning Model Generation Platform for Edge Computing).en_US
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