Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities-Reference-Cited by-同舟云学术

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

Author:

Khan Latif U.¹^ORCID,Han Zhu²^ORCID,Saad Walid³^ORCID,Hossain Ekram⁴^ORCID,Guizani Mohsen⁵^ORCID,Hong Choong Seon¹^ORCID

Affiliation:

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

Funder

National Research Foundation of Korea

Korea Government

Institute of Information and Communications Technology Planning and Evaluation

IITP Grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

Reference141 articles.

3. 6G white paper on machine learning in wireless communication networks;ali;arXiv 2004 13875,2020

5. Digital twin: Values, challenges and enablers;rasheed;arXiv 1910 01719,2019

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