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
Conference or Workshop Item, Bibliographie
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.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2024 |
| Creators: | Mechler, Vincenz ; Wiegand, Felix ; Hollick, Matthias ; Bloessl, Bastian |
| Type of entry: | Bibliographie |
| Title: | Always On Air: Adaptive Physical Layer Switching For Uninterrupted UAV Air-to-Ground Communication |
| Language: | English |
| Date: | 4 June 2024 |
| Publisher: | ACM |
| Book Title: | DroNet '24: Proceedings of the 10th Workshop on Micro Aerial Vehicle Networks, Systems, and Applications |
| Event Title: | 22nd Annual International Conference on Mobile Systems, Applications and Services (MOBISYS '24) |
| Event Location: | Tokyo, Japan |
| Event Dates: | 03.06.2024 - 07.06.2024 |
| DOI: | 10.1145/3661810.3663467 |
| 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. |
| Uncontrolled Keywords: | emergenCity, emergenCITY_KOM |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Sichere Mobile Netze DFG-Collaborative Research Centres (incl. Transregio) DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > emergenCITY DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > D: Technology DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > D: Technology > Subproject D1: Edge-Technology |
| Date Deposited: | 09 Jul 2024 09:16 |
| Last Modified: | 20 Aug 2024 13:14 |
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