Enabling On-Demand Cyber-Physical Control Applications with UAV Access Points

Igor Donevski*, Jimmy Jessen Nielsen

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Achieving cyber-physical control over a wireless channel requires satisfying both the timeliness of a single packet and preserving the latency reliability across several consecutive packets. To satisfy those requirements as an ubiquitous service requires big infrastructural developments, or flexible on-demand equipment such as UAVs. To avoid the upfront cost in terms of finance and energy, this paper analyzes the capability of UAV access points (UAVAPs) to satisfy the requirements for cyber-physical traffic. To investigate this, we perform a Gilbert-Eliott burst-error analysis that is analytically derived as a combination of two separate latency measurement campaigns and provide an upper-bound analysis of the UAVAP system. The analysis is centered around a UAVAP that uses its LTE connection to reach the backhaul, while providing service to ground nodes (GNs) with a Wi-Fi access point (AP). Thus, we combine both measurement campaigns to analyze the plausibility of the described setup in casual, crowded or mixed network settings.

Original languageEnglish
Title of host publication2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Publication date18 Jan 2023
Article number10012873
ISBN (Print)978-1-6654-5469-8
ISBN (Electronic)978-1-6654-5468-1
DOIs
Publication statusPublished - 18 Jan 2023
Event2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) - London, United Kingdom
Duration: 26 Sept 202229 Sept 2022

Conference

Conference2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)
LocationLondon, United Kingdom
Period26/09/202229/09/2022
SeriesIEEE Vehicular Technology Conference
ISSN1550-2252

Bibliographical note

Funding Information:
ACKNOWLEDGMENT The work was supported by the European Union’s research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 812991 ”PAINLESS” within the Horizon 2020 Program.

Funding Information:
The work was supported by the European Union's research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 812991 "PAINLESS" within the Horizon 2020 Program.

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Access Point
  • Burst Errors
  • Drones
  • Low Latency
  • Survival Time
  • Unmanned Aerial Vehicle

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