Resource Scheduling Based on Deep Reinforcement Learning in UAV Assisted Emergency Communication Networks
Author:
Affiliation:
1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China
2. Research Institute, China United Network Communications Corporation, Beijing, China
Funder
National Key R&D Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/26/9796992/09762906.pdf?arnumber=9762906
Reference50 articles.
1. Intelligent Power Control for Spectrum Sharing in Cognitive Radios: A Deep Reinforcement Learning Approach
2. Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination
3. Energy-Efficient Distributed User Scheduling in Relay-Assisted Cellular Networks
4. Deep-Reinforcement-Learning-Based Optimization for Cache-Enabled Opportunistic Interference Alignment Wireless Networks
5. Channel Tracking With Flight Control System for UAV mmWave MIMO Communications
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