Path Loss Prediction Based on Machine Learning Methods for Aircraft Cabin Environments

Path Loss Prediction Based on Machine Learning Methods for Aircraft Cabin Environments

Wireless communications in aircraft cabin environments have drawn widespread attention with the increase of application requirements. To ensure reliable and stable in-cabin communications, the investigation of channel parameters such as path loss is necessary. In this paper, four machine learning me...

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Bibliographic Details
Main Authors: Jinxiao Wen, Yan Zhang, Guanshu Yang, Zunwen He, Wancheng Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Aircraft cabin
data expansion
machine learning
path loss prediction
propagation characteristics
Online Access:https://ieeexplore.ieee.org/document/8888263/

Internet

https://ieeexplore.ieee.org/document/8888263/

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