On the Application of Machine Learning to the Design of UAV-Based 5G Radio Access Networks
A groundbreaking design of radio access networks (RANs) is needed to fulfill 5G traffic requirements. To this aim, a cost-effective and flexible strategy consists of complementing terrestrial RANs with unmanned aerial vehicles (UAVs). However, several problems must be solved in order to effectively...
Main Authors: | Vahid Kouhdaragh, Francesco Verde, Giacinto Gelli, Jamshid Abouei |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-04-01
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Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/9/4/689 |
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