Multi-Objective Optimization for UAV-Enabled Wireless Powered IoT Networks: An LSTM-Based Deep Reinforcement Learning Approach
Author:
Affiliation:
1. School of Internet of Things Engineering, Jiangnan University, Wuxi, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/9979638/09905595.pdf?arnumber=9905595
Reference11 articles.
1. When UAV Meets IRS: Expanding Air-Ground Networks via Passive Reflection
2. Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks
3. Practical Non-Linear Energy Harvesting Model and Resource Allocation for SWIPT Systems
4. Optimization of lightweight task offloading strategy for mobile edge computing based on deep reinforcement learning
5. Long Short-Term Memory
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