Intelligent Task Offloading and Resource Allocation in Digital Twin Based Aerial Computing Networks-Reference-Cited by-同舟云学术

Intelligent Task Offloading and Resource Allocation in Digital Twin Based Aerial Computing Networks

Published:2023-10 Issue:10 Volume:41 Page:3095-3110
ISSN:0733-8716
Container-title:IEEE Journal on Selected Areas in Communications
language:
Short-container-title:IEEE J. Select. Areas Commun.

Author:

Guo Hongzhi¹^ORCID,Zhou Xiaoyi¹^ORCID,Wang Jiadai¹^ORCID,Liu Jiajia¹^ORCID,Benslimane Abderrahim²^ORCID

Affiliation:

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

2. Department of Computer Science and Engineering, University of Avignon, Avignon, France

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Basic Research Programs of Taicang

Xi’an Unmanned System Security and Intelligent Communications ISTC Center

Special Funds for Central Universities Construction of World-Class Universities (Disciplines) and Special Development Guidance

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/49/10297956/10234672.pdf?arnumber=10234672

Reference45 articles.

1. Multi-UAV-Enabled Load-Balance Mobile-Edge Computing for IoT Networks

2. FlexEdge: Digital Twin-Enabled Task Offloading for UAV-Aided Vehicular Edge Computing

3. Deep Reinforcement Learning for Flocking Motion of Multi-UAV systems: Learn from a Digital Twin

4. UAV‐enabled computation migration for complex missions: A reinforcement learning approach

5. Resource Provisioning in Edge Computing for Latency-Sensitive Applications

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