Mechler, Vincenz ; Wiegand, Felix ; Hollick, Matthias ; Bloessl, Bastian (2024)
Always On Air: Adaptive Physical Layer Switching For Uninterrupted UAV Air-to-Ground Communication.
22nd Annual International Conference on Mobile Systems, Applications and Services (MOBISYS '24). Tokyo, Japan (03.06.2024 - 07.06.2024)
doi: 10.1145/3661810.3663467
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Reliable wireless communication is crucial for remote operation of Unmanned Aerial Vehicles (UAVs). Yet, staying in control of the vehicle at all times poses a great challenge, given the dynamics of the wireless channel. Existing technologies are optimized for a given application and, therefore, not well suited for this use case, as they cannot provide both high throughput in high Signal to Noise Ratio (SNR) regimes and high reliability in low SNR regimes. To overcome this limitation, we propose a channel-aware predictive physical layer switching algorithm, utilizing the UAV's telemetry data for implicit synchronization. We evaluate our system experimentally in a fully emulated testbed, achieving an overall outage probability as low as 0.7 % while increasing the average throughput.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2024 |
| Autor(en): | Mechler, Vincenz ; Wiegand, Felix ; Hollick, Matthias ; Bloessl, Bastian |
| Art des Eintrags: | Bibliographie |
| Titel: | Always On Air: Adaptive Physical Layer Switching For Uninterrupted UAV Air-to-Ground Communication |
| Sprache: | Englisch |
| Publikationsjahr: | 4 Juni 2024 |
| Verlag: | ACM |
| Buchtitel: | DroNet '24: Proceedings of the 10th Workshop on Micro Aerial Vehicle Networks, Systems, and Applications |
| Veranstaltungstitel: | 22nd Annual International Conference on Mobile Systems, Applications and Services (MOBISYS '24) |
| Veranstaltungsort: | Tokyo, Japan |
| Veranstaltungsdatum: | 03.06.2024 - 07.06.2024 |
| DOI: | 10.1145/3661810.3663467 |
| Kurzbeschreibung (Abstract): | Reliable wireless communication is crucial for remote operation of Unmanned Aerial Vehicles (UAVs). Yet, staying in control of the vehicle at all times poses a great challenge, given the dynamics of the wireless channel. Existing technologies are optimized for a given application and, therefore, not well suited for this use case, as they cannot provide both high throughput in high Signal to Noise Ratio (SNR) regimes and high reliability in low SNR regimes. To overcome this limitation, we propose a channel-aware predictive physical layer switching algorithm, utilizing the UAV's telemetry data for implicit synchronization. We evaluate our system experimentally in a fully emulated testbed, achieving an overall outage probability as low as 0.7 % while increasing the average throughput. |
| Freie Schlagworte: | emergenCity, emergenCITY_KOM |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Sichere Mobile Netze DFG-Sonderforschungsbereiche (inkl. Transregio) DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > emergenCITY DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > D: Technologie DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > D: Technologie > Teilprojekt D1: Edge-Technologie |
| Hinterlegungsdatum: | 09 Jul 2024 09:16 |
| Letzte Änderung: | 20 Aug 2024 13:14 |
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