Attention-Augmented MADDPG in NOMA-Based Vehicular Mobile Edge Computational Offloading-Reference-Cited by-同舟云学术

Attention-Augmented MADDPG in NOMA-Based Vehicular Mobile Edge Computational Offloading

Published:2024-08-15 Issue:16 Volume:11 Page:27000-27014
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Wu Liangshun¹^ORCID,Qu Junsuo¹^ORCID,Li Shilin¹,Zhang Cong¹,Du Jianbo²^ORCID,Sun Xiang³^ORCID,Zhou Jiehan⁴^ORCID

Affiliation:

1. Xi’an Key Laboratory of Advanced Control and Intelligent Process, School of Automation, Xi’an University of Posts and Telecommunications, Xi’an, China

2. School of Communications and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an, China

3. Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA

4. Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland

Funder

Xi’an Key Laboratory of Advanced Control and Intelligent Process

Key Research and Development Plan of Shaanxi Province

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10623554/10522099.pdf?arnumber=10522099

Reference38 articles.

1. Multi-Agent DRL-Based Hungarian Algorithm (MADRLHA) for Task Offloading in Multi-Access Edge Computing Internet of Vehicles (IoVs)

2. Minimizing Task Offloading Delay in NOMA-MEC Wireless Systems

3. Partial Offloading MEC Optimization Scheme using Deep Reinforcement Learning for XR Real-Time M&S Devices

4. DRL-based Task Offloading and Resource Allocation in Multi-UAV-MEC Network with SDN

5. DRL-Based Secure Video Offloading in MEC-Enabled IoT Networks