Trajectory Design for Multi-UAV-Enabled Wireless Powered Communication Networks: A Multi-Agent DRL Approach
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications,Beijing Laboratory of Advanced Information Networks, Beijing Key Laboratory of Network System Architecture and Convergence,Beijing,China,100876
Funder
111 project
Beijing Key Laboratory of Network System Architecture and Convergence
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10570463/10570502/10571331.pdf?arnumber=10571331
Reference16 articles.
1. UAV-Assisted Data Collection for Internet of Things: A Survey
2. Cooperative Trajectory Design of Multiple UAV Base Stations With Heterogeneous Graph Neural Networks
3. Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach
4. Multi-UAV Mobile Edge Computing and Path Planning Platform Based on Reinforcement Learning
5. UAV-Enabled Wireless Power Transfer: A Tutorial Overview
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