Sparse Measurement Data Driven Air-to-Ground Path Loss Prediction over Vegetation Area-Reference-Cited by-同舟云学术

Sparse Measurement Data Driven Air-to-Ground Path Loss Prediction over Vegetation Area

Published:2022-09 Issue: Volume: Page:
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Container-title:2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)
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Author:

Li Hanpeng¹,Chen Xiaomin¹,Mao Kai¹,Duan Fuqiao¹,Qiu Yanheng¹,Zhu Qiuming¹,Hua Boyu¹,Ali Farman²

Affiliation:

1. Nanjing University of Aeronautics and Astronautics,The Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, College of Electronic and Information Engineering,Nanjing,China,211106

2. Qurtuba University of Science and Information Technology

Funder

Natural Science Foundation of Jiangsu Province

Southeast University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10012685/10012692/10012768.pdf?arnumber=10012768

Reference24 articles.

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3. A 3-D hybrid dynamic channel model for indoor THz communications

4. Multi-Frequency Millimeter-Wave Large-Scale Channel Characteristics in Suburban Environment;yi;Proc ISAP’19,2019

5. Path Loss Prediction Model Development in a Mountainous Forest Environment

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