Optimum Trajectory Planning for Multi-Rotor UAV Relays with Tilt and Antenna Orientation Variations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00353294" target="_blank" >RIV/68407700:21230/21:00353294 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.23919/EUSIPCO54536.2021.9616232" target="_blank" >https://doi.org/10.23919/EUSIPCO54536.2021.9616232</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/EUSIPCO54536.2021.9616232" target="_blank" >10.23919/EUSIPCO54536.2021.9616232</a>
Alternative languages
Result language
angličtina
Original language name
Optimum Trajectory Planning for Multi-Rotor UAV Relays with Tilt and Antenna Orientation Variations
Original language description
Multi-rotor Unmanned Aerial Vehicles (UAVs) need to tilt in order to move; this modifies the UAV's antenna orientation. We consider the scenario where a multi-rotor UAV serves as a communication relay between a Base Station (BS) and another UAV. We propose a framework to generate feasible trajectories for the multi-rotor UAV relay while considering its motion dynamics and the motion-induced changes of the antenna orientation. The UAV relay's trajectory is optimized to maximize the end-to-end number of bits transmitted. Numerical simulations in MATLAB and Gazebo show the benefits of accounting for the antenna orientation variations due to the UAV tilt.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
<a href="/en/project/GA20-10280S" target="_blank" >GA20-10280S: Reliable sensing-driven compact groups of micro aerial robots with adaptive shapes</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
29th European Signal Processing Conference (EUSIPCO)
ISBN
9789082797060
ISSN
2219-5491
e-ISSN
2076-1465
Number of pages
5
Pages from-to
1586-1590
Publisher name
IEEE Signal Processing Society
Place of publication
New Jersey
Event location
Dublin (virtual)
Event date
Aug 23, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000764066600316