9
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references108

          • Record: found
          • Abstract: not found
          • Article: not found

          Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            The Internet of Things: A survey

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Digital Twin in Industry: State-of-the-Art

                Bookmark

                Author and article information

                Contributors
                Journal
                IEEE Communications Surveys & Tutorials
                IEEE Commun. Surv. Tutorials
                Institute of Electrical and Electronics Engineers (IEEE)
                1553-877X
                2373-745X
                24 2022
                24 2022
                : 24
                : 4
                : 2230-2254
                Affiliations
                [1 ]Department of Computer Science and Engineering, Kyung Hee University, Yongin, South Korea
                [2 ]Electrical and Computer Engineering Department and Computer Science Department, University of Houston, Houston, TX, USA
                [3 ]Department of Computer Science and Engineering, Kyung Hee University, Seoul, South Korea
                [4 ]Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada
                [5 ]Machine Learning Department, Mohamed Bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE
                Article
                10.1109/COMST.2022.3198273
                a76a90de-808e-4613-827e-a26e3cc7c908
                © 2022

                https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-037

                History

                Comments

                Comment on this article