Experimental Quality Assessment of Cellular Networks and their Utilization for UAV Services

Radek Mozny, Pavel Masek, Martin Stusek, Karol Molnar, Marketa Palenska, Dmitri Moltchanov, Jiri Hosek

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Abstract

Unmanned aerial vehicles (UAVs) have attracted significant attention. Many potential applications are predicted to bring abundant business opportunities in the next decade thanks to the ubiquitous connectivity of the 4G and 5G cellular networks. Unlike terrestrial deployments, airborne infrastructures have diverse attributes, e.g., increased deployment flexibility, line-of-sight (LoS) connections, and controlled mobility. These attributes bring new research questions and challenges, including LoS dominant ground channels together with increased aerial-terrestrial network interference, the exploitation of the degree of freedom (DoF) provided by the UAV mobility, and the different and tighter quality of service (QoS) requirements for purposes of unmanned traffic management (UTM). Further challenges stem from existing infrastructure oriented towards service availability in low altitudes and low data transfer costs. A key challenge in this context is to achieve and guarantee sufficient service reliability in all altitudes where UTM is planned to be used. Obtained results from the measurement campaign at Twente airport indicate the performance of the 4G cellular network is stable and equals the terrestrial use cases up to 60 m of altitude. However, if the altitude increases more, the network performance degrades significantly. In detail, the analysis revealed the fact the performance drop is significant, especially for downlink transmissions (from ground to UAVs), as the strong interference and connection outages were observed in increased numbers.

Original languageEnglish
Title of host publication2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings
PublisherIEEE
Number of pages6
ISBN (Electronic)9798350311143
ISBN (Print)9798350311150
DOIs
Publication statusPublished - 2023
Publication typeA4 Article in conference proceedings
EventIEEE Vehicular Technology Conference - Florence, Italy
Duration: 20 Jun 202323 Jun 2023
Conference number: 97

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1090-3038
ISSN (Electronic)2577-2465

Conference

ConferenceIEEE Vehicular Technology Conference
Country/TerritoryItaly
CityFlorence
Period20/06/2323/06/23

Keywords

  • Cellular Networks
  • Localization
  • Long Term Evolution
  • Network Performance
  • Timing Advance
  • Unmanned Aerial Vehicle

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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