Digital Twin-Aided Intelligent Offloading With Edge Selection in Mobile Edge Computing-Reference-Cited by-同舟云学术

Digital Twin-Aided Intelligent Offloading With Edge Selection in Mobile Edge Computing

Published:2022-04 Issue:4 Volume:11 Page:806-810
ISSN:2162-2337
Container-title:IEEE Wireless Communications Letters
language:
Short-container-title:IEEE Wireless Commun. Lett.

Author:

Do-Duy Tan¹^ORCID,Van Huynh Dang²^ORCID,Dobre Octavia A.³^ORCID,Canberk Berk⁴^ORCID,Duong Trung Q.²^ORCID

Affiliation:

1. Ho Chi Minh City University of Technology and Education, Ho Chi Minh City, Vietnam

2. Queen’s University Belfast, Belfast, U.K

3. Department of Electrical and Computer Engineering, Memorial University, St. John’s, NL, Canada

4. Department of Computer Engineering, Istanbul Technical University, Istanbul, Turkey

Funder

U.K. Royal Academy of Engineering (RAEng) through the RAEng Research Chair and Senior Research Fellowship Scheme

project funded in 2022 from the Ho Chi Minh City University of Technology and Education, Vietnam

Natural Sciences and Engineering Research Council of Canada (NSERC), through its Discovery program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/5962382/9751780/09691475.pdf?arnumber=9691475

Reference9 articles.

1. Dynamic digital twin and distributed incentives for resource allocation in aerial-assisted Internet of Vehicles;sun;IEEE Internet of Things Journal,2021

2. Digital-Twin-Assisted Task Offloading Based on Edge Collaboration in the Digital Twin Edge Network

3. Spectrum-Sharing UAV-Assisted Mission-Critical Communication: Learning-Aided Real-Time Optimisation

4. Downlink Beamforming for Energy-Efficient Heterogeneous Networks With Massive MIMO and Small Cells

5. Multi-User Regularized Zero-Forcing Beamforming

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