Game-Combined Multi-Agent DRL for Tasks Offloading in Wireless Powered MEC Networks-Reference-Cited by-同舟云学术

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Game-Combined Multi-Agent DRL for Tasks Offloading in Wireless Powered MEC Networks

Published:2023-07 Issue:7 Volume:72 Page:9131-9144
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Gao Ang¹^ORCID,Zhang Shuai¹^ORCID,Hu Yansu²^ORCID,Liang Wei¹^ORCID,Ng Soon Xin³^ORCID

Affiliation:

1. School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China

2. School of Electronic and Control Engineering, Chang'an University, Xi'an, China

3. School of Electronics and Computer Science, University of Southampton, Southampton, U.K.

Funder

Shaanxi Keypoint Research and Invention Program

Xi'an Technology Plan

Shaanxi Natural Science Foundation

Taicang Keypoint Science and Technology Plan

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/ielx7/25/10186246/10056288.pdf?arnumber=10056288

Reference22 articles.

1. Multi-agent reinforcement learning for cost-aware collaborative task execution in energy-harvesting D2D networks

2. Cooperative Communication Between Two Transiently Powered Sensor Nodes by Reinforcement Learning

3. Near-Optimal and Truthful Online Auction for Computation Offloading in Green Edge-Computing Systems

4. — Invited Paper — Backscatter Communication and RFID: Coding, Energy, and MIMO Analysis

5. Continuous control with deep reinforcement learning;lillicrap;Proc Int Conf Learn Represent,0

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1. Digital twin-assisted service function chaining in multi-domain computing power networks with multi-agent reinforcement learning;Future Generation Computer Systems;2024-09

2. Multi-Cluster Cooperative Offloading for VR Task: A MARL Approach With Graph Embedding;IEEE Transactions on Mobile Computing;2024-09

3. Multi-Agent Deep Reinforcement Learning Based Dynamic Task Offloading in a Device-to-Device Mobile-Edge Computing Network to Minimize Average Task Delay with Deadline Constraints;Sensors;2024-08-08

4. Efficient End–Edge–Cloud Task Offloading in 6G Networks Based on Multiagent Deep Reinforcement Learning;IEEE Internet of Things Journal;2024-06-01

5. Development of an AI-Enabled Q-Agent for Making Data Offloading Decisions in a Multi-RAT Wireless Network;Journal of Computer Networks and Communications;2024-01-24

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