Yilmaz, Burak ; Xiang, Lin ; Klein, Anja (2022)
UAV-Assisted Delay-Sensitive Communications with Uncertain User Locations: A Cost Minimization Approach.
33rd International Symposium on Personal, Indoor and Mobile Radio Communications. virtual Conference (12.09.2022-15.09.2022)
doi: 10.1109/PIMRC54779.2022.9977912
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
In this paper, we consider optimal resource allocation for unmanned aerial vehicle (UAV)-assisted delay-sensitive communications, where a UAV flies to deliver time-critical messages to multiple ground users (GUs) as soon as possible. However, the GUs' locations cannot be perfectly known at the UAV, which may jeopardize the timeliness of message delivery to the GUs. To tackle this challenge, we consider a disk-based fixed-rate transmission scheme at the UAV, which can exploit the mobility of the UAV to facilitate timely communications despite uncertain user locations. Consequently, the system performance hinges on the UAV's flight trajectory and the scheduling of GUs, which are further optimized using a cost minimization approach. Thereby, a general class of delay-aware cost functions, referred to as the cost of delivery delay (CoDD), is defined taking into account the diverse delay-sensitivity requirements of the GUs, and we jointly optimize the user scheduling and the UAV's trajectory for minimization of the sum CoDD of all GUs incurred before the UAV's mission completes. The formulated optimization problem is a nonconvex mixed-integer nonlinear program. Exploiting the underlying structure of this problem, we further propose two novel low-complexity solutions based on approximate dynamic programming (DP). Simulation results show that the proposed schemes can flexibly adjust the UAV's flight trajectory and resource allocation according to the GUs' individual delivery delays, delay tolerance, and location uncertainty, which translates into significantly lower sum CoDD for the GUs than several benchmark schemes.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Yilmaz, Burak ; Xiang, Lin ; Klein, Anja |
| Art des Eintrags: | Bibliographie |
| Titel: | UAV-Assisted Delay-Sensitive Communications with Uncertain User Locations: A Cost Minimization Approach |
| Sprache: | Englisch |
| Publikationsjahr: | 20 Dezember 2022 |
| Verlag: | IEEE |
| Buchtitel: | 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) |
| Veranstaltungstitel: | 33rd International Symposium on Personal, Indoor and Mobile Radio Communications |
| Veranstaltungsort: | virtual Conference |
| Veranstaltungsdatum: | 12.09.2022-15.09.2022 |
| DOI: | 10.1109/PIMRC54779.2022.9977912 |
| Kurzbeschreibung (Abstract): | In this paper, we consider optimal resource allocation for unmanned aerial vehicle (UAV)-assisted delay-sensitive communications, where a UAV flies to deliver time-critical messages to multiple ground users (GUs) as soon as possible. However, the GUs' locations cannot be perfectly known at the UAV, which may jeopardize the timeliness of message delivery to the GUs. To tackle this challenge, we consider a disk-based fixed-rate transmission scheme at the UAV, which can exploit the mobility of the UAV to facilitate timely communications despite uncertain user locations. Consequently, the system performance hinges on the UAV's flight trajectory and the scheduling of GUs, which are further optimized using a cost minimization approach. Thereby, a general class of delay-aware cost functions, referred to as the cost of delivery delay (CoDD), is defined taking into account the diverse delay-sensitivity requirements of the GUs, and we jointly optimize the user scheduling and the UAV's trajectory for minimization of the sum CoDD of all GUs incurred before the UAV's mission completes. The formulated optimization problem is a nonconvex mixed-integer nonlinear program. Exploiting the underlying structure of this problem, we further propose two novel low-complexity solutions based on approximate dynamic programming (DP). Simulation results show that the proposed schemes can flexibly adjust the UAV's flight trajectory and resource allocation according to the GUs' individual delivery delays, delay tolerance, and location uncertainty, which translates into significantly lower sum CoDD for the GUs than several benchmark schemes. |
| Freie Schlagworte: | emergenCITY, emergenCITY_KOM |
| Zusätzliche Informationen: | BMBF Open6GHub |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Kommunikationstechnik LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > emergenCITY |
| Hinterlegungsdatum: | 01 Feb 2023 12:15 |
| Letzte Änderung: | 02 Mai 2023 11:05 |
| PPN: | 507382129 |
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