Deep Reinforcement Learning Aided Packet-Routing for Aeronautical Ad-Hoc Networks Formed by Passenger Planes-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning Aided Packet-Routing for Aeronautical Ad-Hoc Networks Formed by Passenger Planes

Published:2021-05 Issue:5 Volume:70 Page:5166-5171
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Liu Dong^ORCID,Cui Jingjing^ORCID,Zhang Jiankang^ORCID,Yang C.-Y.^ORCID,Hanzo Lajos^ORCID

Funder

Engineering and Physical Sciences Research Council Projects

Royal Society's Global Challenges Research Fund Grant

European Research Council's Advanced Fellow Grant QuantCom

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/9449996/09408403.pdf?arnumber=9408403

Cited by 18 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. Enabling High-Throughput Routing for LEO Satellite Broadband Networks: A Flow-Centric Deep Reinforcement Learning Approach;IEEE Internet of Things Journal;2024-09-01

2. Joint routing and computation offloading based deep reinforcement learning for Flying Ad hoc Networks;Computer Networks;2024-07

3. WOAD3QN-RP: An intelligent routing protocol in wireless sensor networks — A swarm intelligence and deep reinforcement learning based approach;Expert Systems with Applications;2024-07

4. Adaptive Coding and Modulation-Aided Mobile Relaying for Millimeter-Wave Flying Ad Hoc Networks;IEEE Internet of Things Journal;2024-01-15

5. Routing Prediction Strategy for UAV Swarm Network Using Pigeon-Inspired Optimization-Based Neural Network;International Journal of Aeronautical and Space Sciences;2023-03-20

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