Machine-Learning-Based 3-D Channel Modeling for U2V mmWave Communications-Reference-Cited by-同舟云学术

Machine-Learning-Based 3-D Channel Modeling for U2V mmWave Communications

Published:2022-09-15 Issue:18 Volume:9 Page:17592-17607
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Mao Kai¹^ORCID,Zhu Qiuming¹^ORCID,Song Maozhong¹^ORCID,Li Hanpeng¹,Ning Benzhe¹,Pedersen Gert Frolund²^ORCID,Fan Wei²^ORCID

Affiliation:

1. Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Department of Electronic Systems, Antenna Propagation and Millimeter-Wave Systems Section, Faculty of Engineering and Science, Aalborg University, Aalborg, Denmark

Funder

NSFC Key Scientific Instrument and Equipment Development Project

ISN State Key Laboratory Fund

Aeronautical Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9881201/09724219.pdf?arnumber=9724219

Reference78 articles.