Path Loss Model Estimation at Indoor Environment by Using Deep Neural Network and CatBoost for Wireless Application

Path Loss Model Estimation at Indoor Environment by Using Deep Neural Network and CatBoost for Wireless Application

This paper introduces a novel method for estimating the path loss value in indoor scenarios. It uses a combination of electromagnetic calculation and machine learning. Using electromagnetic software, we design the indoor environment and calculate path loss between the receiver and the transmitter an...

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Bibliographic Details
Main Authors: Hassan Zakeri, Parsa Khoddami, Gholamreza Moradi, Mohammad Alibakhshikenari, Raed Abd-Alhameed, Slawomir Koziel, Mariana Dalarsson
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Fifth-generation
indoor environment
deep neural network
path loss
CatBoosting
millimeter wave
Online Access:https://ieeexplore.ieee.org/document/10736583/
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https://ieeexplore.ieee.org/document/10736583/

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