Deep Learning-Based Joint Communication and Sensing for 6G Cellular-Connected UAVs-Reference-Cited by-同舟云学术

Deep Learning-Based Joint Communication and Sensing for 6G Cellular-Connected UAVs

Published:2022-03-27 Issue: Volume: Page:
ISSN:
Container-title:2022 16th European Conference on Antennas and Propagation (EuCAP)
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Author:

Rodriguez-Pineiro Jose¹,Liu Wenjing¹,Wang Yu¹,Yin Xuefeng¹,Lee Juyul²,Kim Myung-Don²

Affiliation:

1. Tongji University,College of Electronics and Information Engineering,Shanghai,China

2. Telecomm. Media Research Lab, Electronics & Telecomm. Research Institute (ETRI),Daejeon,Korea

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9768880/9768883/09768977.pdf?arnumber=9768977

Reference10 articles.

1. Wireless communications with unmanned aerial vehicles: opportunities and challenges

2. Automatic scene reconstruction algorithm for planialtimetric applications;fretes;XXIII IEEE Congress of the Chilean Association of Automatic Control (ICA-ACCA 2018),2018

3. Geometry-Based MPC Tracking and Modeling Algorithm for Time-Varying UAV Channels

4. Communications for massive UAV scenarios;fiebig;17th International Conference on Wireless and Mobile Communications (ICWMC 2021),2021

5. Security and Privacy Issues of UAV: A Survey

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