Machine-Learning-Based Ground-Level Mobile Network Coverage Prediction Using UAV Measurements

Machine-Learning-Based Ground-Level Mobile Network Coverage Prediction Using UAV Measurements

Future mobile network operators and telecommunications authorities aim to provide reliable network coverage. Signal strength, normally assessed using standard drive tests over targeted areas, is an important factor strongly linked to user satisfaction. Drive tests are, however, time-consuming, expen...

Full description

Bibliographic Details
Main Authors: Naser Tarhuni, Ibtihal Al Saadi, Hafiz M. Asif, Mostefa Mesbah, Omer Eldirdiry, Abdulnasir Hossen
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Journal of Sensor and Actuator Networks
Subjects:
network coverage
machine learning
drone systems
Online Access:https://www.mdpi.com/2224-2708/12/3/44

Internet

https://www.mdpi.com/2224-2708/12/3/44

Similar Items