Resource Management in 5G Networks Assisted by UAV Base Stations: Machine Learning for Overloaded Macrocell Prediction Based on Users’ Temporal and Spatial Flow

Resource Management in 5G Networks Assisted by UAV Base Stations: Machine Learning for Overloaded Macrocell Prediction Based on Users’ Temporal and Spatial Flow

The rapid growth of data traffic due to the demands of new services and applications poses new challenges to the wireless network. Unmanned aerial vehicles (UAVs) can be a solution to support wireless networks during congestion, especially in scenarios where the region has high traffic peaks due to...

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Bibliographic Details
Main Authors: Rodrigo Dias Alfaia, Anderson Vinicius de Freitas Souto, Evelin Helena Silva Cardoso, Jasmine Priscyla Leite de Araújo, Carlos Renato Lisboa Francês
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Drones
Subjects:
machine learning
UAV-BS
macrocell
QoS
temporal and spatial flow
Online Access:https://www.mdpi.com/2504-446X/6/6/145

Internet

https://www.mdpi.com/2504-446X/6/6/145

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