Deep Learning for Channel Tracking in IRS-Assisted UAV Communication Systems-Reference-Cited by-同舟云学术

Deep Learning for Channel Tracking in IRS-Assisted UAV Communication Systems

Published:2022-09 Issue:9 Volume:21 Page:7711-7722
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Yu Jiadong¹^ORCID,Liu Xiaolan²^ORCID,Gao Yue³^ORCID,Zhang Chiya⁴^ORCID,Zhang Wei⁵^ORCID

Affiliation:

1. Internet of Things Thrust, The Hong Kong University of Science and Technology, Guangzhou, China

2. Institute for Digital Technologies, Loughborough University London, London, U.K

3. School of Computer Science, Fudan University, Shanghai, China

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

5. School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia

Funder

National Key Research and Development Program of China

Special Project for Research and Development in Key areas of Guangdong Province

Shenzhen Science and Innovation Fund

Australian Research Council’s Project Funding Scheme

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/9882898/09743298.pdf?arnumber=9743298

Reference49 articles.

1. Deep Learning for Super-Resolution Channel Estimation and DOA Estimation Based Massive MIMO System

2. Stochastic Learning Robust Beamforming for Millimeter-Wave Systems With Path Blockage

3. Reflections in the sky: Joint trajectory and passive beamforming design for secure UAV networks with reconfigurable intelligent surface;long;arXiv 2005 10559,2020

4. Deep Channel Learning for Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems

5. Enabling Large Intelligent Surfaces With Compressive Sensing and Deep Learning

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