Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Ricardo, Barrios-Munoz, Matteo, Bernabe, David, Lopez-Perez, David, Gomez-Barquero, Israel, Quintanilla-Garcia
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2411.09666
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866916675709829120
author Ricardo, Barrios-Munoz
Matteo, Bernabe
David, Lopez-Perez
David, Gomez-Barquero
Israel, Quintanilla-Garcia
author_facet Ricardo, Barrios-Munoz
Matteo, Bernabe
David, Lopez-Perez
David, Gomez-Barquero
Israel, Quintanilla-Garcia
contents Following the burgeoning interest in unmanned aerial vehicles (UAVs) utilization within human-inhabited spaces, critical challenges arise in ensuring reliable, low-latency communication-particularly important given the safety-critical nature of such operations in densely populated urban environments. Therefore, adequate cellular communication capabilities are essential to enable safe and effective operations within the so-called U-Spaces. In this context, this paper investigates the communication performance of cellular-connected UAVs in dense urban environments. In particular, the analysis is based on a comprehensive measurement campaign conducted in the city of Benidorm, Spain-an urban area well known for its high concentration of tall buildings and overall urban density. More specifically, we evaluated key performance indicators (KPIs) related to received signal strength and quality, data rate, and latency across various altitudes, mobile network operators, access technologies, and frequency bands, using multiple types of measurement equipment. The results highlight significant challenges, primarily due to the lack of dedicated planning for aerial coverage and interference management, revealing that current cellular networks may fall short in supporting reliable and ubiquitous UAVs communication. Thus, this paper calls for improved network solutions to ensure the reliability of UAV operations in urban airspace, thereby contributing to the integration of UAVs into urban logistics and mobility.
format Preprint
id arxiv_https___arxiv_org_abs_2411_09666
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Evaluating 5G Networks for U-Space Applications: Insights from Dense Urban Measurement Campaign
Ricardo, Barrios-Munoz
Matteo, Bernabe
David, Lopez-Perez
David, Gomez-Barquero
Israel, Quintanilla-Garcia
Information Theory
Signal Processing
Following the burgeoning interest in unmanned aerial vehicles (UAVs) utilization within human-inhabited spaces, critical challenges arise in ensuring reliable, low-latency communication-particularly important given the safety-critical nature of such operations in densely populated urban environments. Therefore, adequate cellular communication capabilities are essential to enable safe and effective operations within the so-called U-Spaces. In this context, this paper investigates the communication performance of cellular-connected UAVs in dense urban environments. In particular, the analysis is based on a comprehensive measurement campaign conducted in the city of Benidorm, Spain-an urban area well known for its high concentration of tall buildings and overall urban density. More specifically, we evaluated key performance indicators (KPIs) related to received signal strength and quality, data rate, and latency across various altitudes, mobile network operators, access technologies, and frequency bands, using multiple types of measurement equipment. The results highlight significant challenges, primarily due to the lack of dedicated planning for aerial coverage and interference management, revealing that current cellular networks may fall short in supporting reliable and ubiquitous UAVs communication. Thus, this paper calls for improved network solutions to ensure the reliability of UAV operations in urban airspace, thereby contributing to the integration of UAVs into urban logistics and mobility.
title Evaluating 5G Networks for U-Space Applications: Insights from Dense Urban Measurement Campaign
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2411.09666