Air-to-Ground Path Loss Model at 3.6 GHz under Agricultural Scenarios Based on Measurements and Artificial Neural Networks

Air-to-Ground Path Loss Model at 3.6 GHz under Agricultural Scenarios Based on Measurements and Artificial Neural Networks

Unmanned aerial vehicles (UAVs) have found expanding utilization in smart agriculture. Path loss (PL) is of significant importance in the link budget of UAV-aided air-to-ground (A2G) communications. This paper proposes a machine-learning-based PL model for A2G communication in agricultural scenarios...

Full description

Bibliographic Details
Main Authors: Hanpeng Li, Kai Mao, Xuchao Ye, Taotao Zhang, Qiuming Zhu, Manxi Wang, Yurao Ge, Hangang Li, Farman Ali
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Drones
Subjects:
unmanned aerial vehicle (UAV)
path loss (PL)
agricultural scenario
artificial neural network (ANN)
ray tracing (RT)
channel measurement
Online Access:https://www.mdpi.com/2504-446X/7/12/701

Internet

https://www.mdpi.com/2504-446X/7/12/701

Similar Items