Enhancing Wireless Connectivity Through Bayesian-Optimized UAV-BS Positioning and Charging
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU151402" target="_blank" >RIV/00216305:26220/24:PU151402 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-60994-7_7" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-60994-7_7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-60994-7_7" target="_blank" >10.1007/978-3-031-60994-7_7</a>
Alternative languages
Result language
angličtina
Original language name
Enhancing Wireless Connectivity Through Bayesian-Optimized UAV-BS Positioning and Charging
Original language description
Enhancing wireless network coverage in densely populated urban environments poses a significant challenge due to high-rise buildings and intricate topographical features obstructing signal propagation. To augment network coverage in challenging areas, our paper proposes the utilization of Unmanned Aerial Vehicles Base Stations (UAV-BSs) as dynamic communication relays. By employing Bayesian optimization, we strategically position UAV-BSs to extend signal coverage to regions inadequately served by traditional cellular infrastructure. An essential contribution of our approach lies in integrating diverse urban elements for UAV-BS recharging, encompassing the utilization of transformer lines, adapting customized balconies, and exploiting cellular infrastructure rooftops. These various recharging locations considerably extend the operational duration of UAV-BSs. Through extensive simulations, we demonstrate that our approach ensures a remarkable percentage increase in UAV-BS operating time and significantly enhances network connectivity for areas with high user density and traffic demand. Further, underscoring the practicality of our solution in addressing the complex challenges of urban wireless communication, this research represents a significant advancement in UAV-BS-assisted network capacity enhancement, offering a scalable and efficient solution for densely populated urban areas.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Internet of Things, Smart Spaces, and Next Generation Networks and Systems
ISBN
978-3-031-60994-7
ISSN
0302-9743
e-ISSN
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Number of pages
16
Pages from-to
71-86
Publisher name
Springer, Cham
Place of publication
Dubai, United Arab Emirates
Event location
Dubai, United Arab Emirates
Event date
Dec 21, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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