Deep Reinforcement Learning Based Trajectory Design and Resource Allocation for UAV-Assisted Communications-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning Based Trajectory Design and Resource Allocation for UAV-Assisted Communications

Published:2023-09 Issue:9 Volume:27 Page:2398-2402
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Zhang Chiya¹^ORCID,Li Zhukun¹^ORCID,He Chunlong²^ORCID,Wang Kezhi³^ORCID,Pan Cunhua⁴^ORCID

Affiliation:

1. School of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen, China

2. Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China

3. Department of Computer Science, Brunel University London, London, U.K.

4. National Mobile Communication Research Laboratory, Southeast University, Nanjing, China

Funder

National Natural Science Foundation of China

Shenzhen Basic Research Program

Horizon Europe COVER project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/4234/10247108/10177808.pdf?arnumber=10177808

Reference10 articles.

1. Optimal LAP Altitude for Maximum Coverage

2. Minimizing Mission Completion Time of UAVs by Jointly Optimizing the Flight and Data Collection Trajectory in UAV-Enabled WSNs

3. 3-D Placement of an Unmanned Aerial Vehicle Base Station for Maximum Coverage of Users With Different QoS Requirements

4. 3D UAV Trajectory Design and Frequency Band Allocation for Energy-Efficient and Fair Communication: A Deep Reinforcement Learning Approach

5. Joint Trajectory and Communication Design for Multi-UAV Enabled Wireless Networks

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1. Secure Task Offloading and Resource Allocation Strategies in Mobile Applications Using Probit Mish-Gated Recurrent Unit and an Enhanced-Searching-Based Serval Optimization Algorithm;Electronics;2024-06-24

2. 5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-Based Integrated Access and Backhaul;IEEE Transactions on Machine Learning in Communications and Networking;2024

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