Resource Allocation for Integrated Sensing and Communication in Digital Twin Enabled Internet of Vehicles-Reference-Cited by-同舟云学术

Resource Allocation for Integrated Sensing and Communication in Digital Twin Enabled Internet of Vehicles

Published:2023-04 Issue:4 Volume:72 Page:4510-4524
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Gong Yu¹^ORCID,Wei Yifei¹^ORCID,Feng Zhiyong²^ORCID,Yu F. Richard³^ORCID,Zhang Yan⁴^ORCID

Affiliation:

1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China

2. Key Laboratory of Universal Wireless Communications, Ministry of Education, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China

3. Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada

4. Department of Informatics, University of Oslo, Oslo, Norway

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/10104191/09982429.pdf?arnumber=9982429

Reference36 articles.

1. Adaptive Digital Twin and Multiagent Deep Reinforcement Learning for Vehicular Edge Computing and Networks

2. Potential Games

3. Service Offloading With Deep Q-Network for Digital Twinning-Empowered Internet of Vehicles in Edge Computing

4. Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning With Shapley Values

5. Radio Resource Allocation for Integrated Sensing, Communication, and Computation Networks

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