Informative Path Planning Using Physics-Informed Gaussian Processes for Aerial Mapping of 5G Networks

Informative Path Planning Using Physics-Informed Gaussian Processes for Aerial Mapping of 5G Networks

The advent of 5G technology has facilitated the adoption of private cellular networks in industrial settings. Ensuring reliable coverage while maintaining certain requirements at its boundaries is crucial for successful deployment yet challenging without extensive measurements. In this article, we p...

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Bibliographic Details
Main Authors: Jonas F. Gruner, Jan Graßhoff, Carlos Castelar Wembers, Kilian Schweppe, Georg Schildbach, Philipp Rostalski
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
unmanned aerial vehicle
drone
path planning
mapping
mobile network
5G
Online Access:https://www.mdpi.com/1424-8220/24/23/7601
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