Trajectory Design and Resource Allocation for Multi-UAV Networks: Deep Reinforcement Learning Approaches-Reference-Cited by-同舟云学术

Trajectory Design and Resource Allocation for Multi-UAV Networks: Deep Reinforcement Learning Approaches

Published:2023 Issue: Volume: Page:1-1
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Chang Zheng¹,Deng Hengwei²,You Li³,Min Geyong⁴,Garg Sahil⁵,Kaddoum Georges⁶

Affiliation:

1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China, and the Faculty of Information Technology, Jyvaskylan yliopisto, 4168 Jyvaskyla, Keski-Suomi, Finland

2. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

3. Southeast University, 12579 Nanjing, Jiangsu, China

4. Department of Computer Science, University of Exeter, Exeter, Exeter, United Kingdom of Great Britain and Northern Ireland

5. Electrical Engineering Department, Ecole de technologie superieure, 14849 Montreal, Quebec, Canada, H3C 1K3

6. Electrical Engineering, Ecole de technologie superieure, 14849 Montreal, Quebec, Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6488902/6930788/09767553.pdf?arnumber=9767553

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