Machine Learning-Based Beamforming for Unmanned Aerial Vehicles Equipped with Reconfigurable Intelligent Surfaces
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00363402" target="_blank" >RIV/68407700:21230/22:00363402 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/MWC.004.2100694" target="_blank" >https://doi.org/10.1109/MWC.004.2100694</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MWC.004.2100694" target="_blank" >10.1109/MWC.004.2100694</a>
Alternative languages
Result language
angličtina
Original language name
Machine Learning-Based Beamforming for Unmanned Aerial Vehicles Equipped with Reconfigurable Intelligent Surfaces
Original language description
Unmanned aerial vehicles (UAVs) equipped with reconfigurable intelligent surfaces (RISs) have emerged as a promising technology for numerous applications involving aerial networks. However, the UAV-RIS concept faces challenges related to the deployment of the UAV-RIS, especially in cases, where UAV-RIS is combined with emerging technologies, such as beamforming, sensitive to propagation channel variation. In this article, we first overview various use-cases of UAV-RIS beam-forming considering practical scenarios. Aiming to improve the performance of communication channels, we propose a machine learning-based beamforming policy for UAV-RIS by employing prioritized experience replay (PER) based deep Q-Network (DQN). Compared to traditional approaches, the proposed PER DQN-based beamforming for UAV-RIS communication provides significant enhancements in performance. Finally, we highlight some potential directions for future research.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
<a href="/en/project/LTT20004" target="_blank" >LTT20004: Cooperation with International Research Centre in Area of Digital Communication Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE WIRELESS COMMUNICATIONS
ISSN
1536-1284
e-ISSN
1558-0687
Volume of the periodical
29
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
7
Pages from-to
32-38
UT code for WoS article
000870727800015
EID of the result in the Scopus database
2-s2.0-85140888583