Deep Reinforcement Learning for Multi-User Access Control in UAV Networks-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning for Multi-User Access Control in UAV Networks

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:ICC 2019 - 2019 IEEE International Conference on Communications (ICC)
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Author:

Cao Yang,Zhang Lin,Liang Ying-Chang

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8753818/8761046/08761794.pdf?arnumber=8761794

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DRL-Based Resource Allocation and Trajectory Planning for NOMA-Enabled Multi-UAV Collaborative Caching 6G Network;IEEE Transactions on Vehicular Technology;2024-06

2. Reinforcement learning for energy efficiency improvement in UAV-BS access networks: A knowledge transfer scheme;Engineering Applications of Artificial Intelligence;2023-04

3. Deep Q-learning-enabled Deployment of Aerial Base Stations in the Presence of Mobile Users;Proceedings of the 20th ACM International Symposium on Mobility Management and Wireless Access on 20th ACM International Symposium on Mobility Management and Wireless Access;2022-10-24

4. An Interrelated Imitation Learning Method for Heterogeneous Drone Swarm Coordination;IEEE Transactions on Emerging Topics in Computing;2022-10-01

5. Handover Management for Drones in Future Mobile Networks—A Survey;Sensors;2022-08-25

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