Classified 3D mapping and deep learning-aided signal power estimation architecture for the deployment of wireless communication systems

Classified 3D mapping and deep learning-aided signal power estimation architecture for the deployment of wireless communication systems

Abstract The traditional wireless communication systems deployment models require expensive and time-consuming procedures, including environment selection (rural, urban, and suburban), drive test data collection, and analysis of the raw data. These procedures mainly utilize stochastic and determinis...

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Bibliographic Details
Main Authors: Yunus Egi, Engin Eyceyurt
Format: Article
Language:English
Published: SpringerOpen 2022-10-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Sensor fusion
LiDAR point cloud
Cellular tower deployment
Deep learning
YOLO V5
Online Access:https://doi.org/10.1186/s13638-022-02188-2

Internet

https://doi.org/10.1186/s13638-022-02188-2

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