Capacity Maximization in RIS-UAV Networks: A DDQN-Based Trajectory and Phase Shift Optimization Approach-Reference-Cited by-同舟云学术

Capacity Maximization in RIS-UAV Networks: A DDQN-Based Trajectory and Phase Shift Optimization Approach

Published:2023-04 Issue:4 Volume:22 Page:2583-2591
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Zhang Haijun¹^ORCID,Huang Miaolin¹,Zhou Huan²^ORCID,Wang Xianmei¹,Wang Ning³^ORCID,Long Keping¹^ORCID

Affiliation:

1. Beijing Engineering and Technology Research Center for Convergence Networks and Ubiquitous Services, University of Science and Technology Beijing, Beijing, China

2. College of Computer and Information Technology, China Three Gorges University, Yichang, China

3. Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis, School of Information Engineering, Zhengzhou University, Zhengzhou, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation

China University Industry-University-Research Collaborative Innovation Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/10098671/09919620.pdf?arnumber=9919620

Reference34 articles.

1. Analytical Modeling of the Path-Loss for Reconfigurable Intelligent Surfaces – Anomalous Mirror or Scatterer ?

2. Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

3. Machine Learning Empowered Trajectory and Passive Beamforming Design in UAV-RIS Wireless Networks

4. Intelligent Reflecting Surface Aided Multigroup Multicast MISO Communication Systems

5. Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming

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