Comparative Analysis of Major Machine-Learning-Based Path Loss Models for Enclosed Indoor Channels

Comparative Analysis of Major Machine-Learning-Based Path Loss Models for Enclosed Indoor Channels

Unlimited access to information and data sharing wherever and at any time for anyone and anything is a fundamental component of fifth-generation (5G) wireless communication and beyond. Therefore, it has become inevitable to exploit the super-high frequency (SHF) and millimeter-wave (mmWave) frequenc...

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Bibliographic Details
Main Authors:	Mohamed K. Elmezughi, Omran Salih, Thomas J. Afullo, Kevin J. Duffy
Format:	Article
Language:	English
Published:	MDPI AG 2022-06-01
Series:	Sensors
Subjects:	wireless communications channel modeling path loss propagation characteristics machine learning neural network
Online Access:	https://www.mdpi.com/1424-8220/22/13/4967

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