A Dynamic Task Scheduling Strategy for Multi-Access Edge Computing in IRS-Aided Vehicular Networks-Reference-Cited by-同舟云学术

A Dynamic Task Scheduling Strategy for Multi-Access Edge Computing in IRS-Aided Vehicular Networks

Published:2022-10-01 Issue:4 Volume:10 Page:1761-1771
ISSN:2168-6750
Container-title:IEEE Transactions on Emerging Topics in Computing
language:
Short-container-title:IEEE Trans. Emerg. Topics Comput.

Author:

Zhu Yishi¹^ORCID,Mao Bomin²^ORCID,Kato Nei¹^ORCID

Affiliation:

1. Graduate School of Information Sciences, Tohoku University, Sendai, Miyagi, Japan

2. National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Cybersecurity, Northwestern Polytechnical University, Xi'an, China

Funder

World-leading Innovative and Smart Education program for Artificial Intelligence Electronics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Human-Computer Interaction,Information Systems,Computer Science (miscellaneous)

Link

http://xplorestaging.ieee.org/ielx7/6245516/9970409/09724147.pdf?arnumber=9724147

Reference28 articles.

1. Intelligent Reflecting Surface Placement Optimization in Air-Ground Communication Networks Toward 6G

2. Reconfigurable Holographic Surface: Holographic Beamforming for Metasurface-Aided Wireless Communications

3. A new predictive dynamic priority scheduling in Ethernet passive optical networks (EPONs)

4. Blockchain-Based Task Offloading for Edge Computing on Low-Quality Data via Distributed Learning in the Internet of Energy

5. A Millimeter-Wave Reconfigurable Intelligent Metasurface Design for Vehicular Networks Applications

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