Machine‐learning‐based prediction methods for path loss and delay spread in air‐to‐ground millimetre‐wave channels
Author:
Affiliation:
1. School of Information and ElectronicsBeijing Institute of TechnologyBeijing100081People's Republic of China
2. Department of Information Science and TechnologyBeijing Normal UniversityBeijing100875People's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-map.2018.6187
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