UAV-BS Integration with Urban Infrastructure: An Energy Efficiency Perspective
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU152707" target="_blank" >RIV/00216305:26220/24:PU152707 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/10742573" target="_blank" >https://ieeexplore.ieee.org/abstract/document/10742573</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MCOM.001.2400247" target="_blank" >10.1109/MCOM.001.2400247</a>
Alternative languages
Result language
angličtina
Original language name
UAV-BS Integration with Urban Infrastructure: An Energy Efficiency Perspective
Original language description
The integration of uncrewed aerial vehicles (UAVs) with fifth-generation (5G) cellular networks has been a prominent research focus in recent years and continues to attract significant interest in the context of sixth-generation (6G) wireless networks. UAVs can serve as aerial wireless platforms to provide on-demand coverage, mobile edge computing, and enhanced sensing and communication services. However, UAV-assisted networks present new opportunities and challenges due to the inherent size, weight, and power constraints of UAVs, their controllable mobility, and the line-ofsight (LoS) characteristics of communication channels. This article discusses these opportunities and challenges from the viewpoint of mobile network operators (MNOs), and offers a novel perspective on efficiently utilizing modern city infrastructures for UAV deployment in typical urban scenarios. In these scenarios, UAV-mounted base stations (UAV-BSs) can significantly improve service continuity and network energy efficiency. We compare system performance in terms of user satisfaction and energy efficiency between conventional UAV deployment, which follows demand dynamics, and an alternative approach where UAVs land on urban infrastructure equipped with charging stations. To identify the preferred UAV locations, while considering the limited availability of such stations and environmental dynamics, we employ a data-driven genetic algorithm. This algorithm closely approximates the true optimal locations subject to a moderate computational budget.
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
20200 - Electrical engineering, Electronic engineering, Information engineering
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
Name of the periodical
IEEE COMMUNICATIONS MAGAZINE
ISSN
0163-6804
e-ISSN
1558-1896
Volume of the periodical
62
Issue of the periodical within the volume
11
Country of publishing house
US - UNITED STATES
Number of pages
7
Pages from-to
01-07
UT code for WoS article
001351566800001
EID of the result in the Scopus database
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