Geometrical Features Based-mmWave UAV Path Loss Prediction Using Machine Learning for 5G and Beyond

Geometrical Features Based-mmWave UAV Path Loss Prediction Using Machine Learning for 5G and Beyond

Unmanned aerial vehicles (UAVs) are envisioned to play a pivotal role in modern telecommunication and wireless sensor networks, offering unparalleled flexibility and mobility for communication and data collection in diverse environments. This paper presents a comprehensive investigation into the per...

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Bibliographic Details
Main Authors: Sajjad Hussain, Syed Faraz Naeem Bacha, Adnan Ahmad Cheema, Berk Canberk, Trung Q. Duong
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
UAVs
millimeter-wave (mmWave)
5G
path loss (PL)
ray tracing
and machine learning
Online Access:https://ieeexplore.ieee.org/document/10648833/

Internet

https://ieeexplore.ieee.org/document/10648833/

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