Deep Reinforcement Learning-Based Solution for Minimizing the Alterable Urgency of Information in UAV- Enabled IIoT System
Author:
Affiliation:
1. National Engineering Research Center for Mobile Network Technologies, Beijing University of Posts and Telecommunications,Beijing,China,100876
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437208.pdf?arnumber=10437208
Reference16 articles.
1. Industrial IoT in 5G-and-Beyond Networks: Vision, Architecture, and Design Trends
2. Multi-Agent Deep Reinforcement Learning-Based Interdependent Computing for Mobile Edge Computing-Assisted Robot Teams
3. AoI-Minimal Trajectory Planning and Data Collection in UAV-Assisted Wireless Powered IoT Networks
4. Stochastic Online Learning for Mobile Edge Computing: Learning from Changes
5. UAV-Enabled Wireless Power Transfer: Trajectory Design and Energy Optimization
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