Measurement and Analysis of 4G/5G Mobile Signal Coverage in a Heavy Industry Environment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU151284" target="_blank" >RIV/00216305:26220/24:PU151284 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1424-8220/24/8/2538" target="_blank" >https://www.mdpi.com/1424-8220/24/8/2538</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s24082538" target="_blank" >10.3390/s24082538</a>
Alternative languages
Result language
angličtina
Original language name
Measurement and Analysis of 4G/5G Mobile Signal Coverage in a Heavy Industry Environment
Original language description
In the evolving landscape of Industry 4.0, the integration of advanced wireless technologies into manufacturing processes holds the promise of unprecedented connectivity and efficiency. In particular, the data transmission in a heavy industry environment needs stable connectivity with mobile operators. This paper deals with the performance study of 4G and 5G mobile signal coverage within a complex factory environment. For this purpose, a cost-effective and portable measurement setup was realized and used to provide long-term measurement campaigns monitoring and recording several key parameter indicators (KPIs) in 4G/5G downlink and upload. To support the reproducibility of the provided study and other research activities, the measured dataset is publicly available for download. Among others findings, the obtained results show how the performance of 4G/5G is influenced by a heavy industry environment and of the time of day on the network load.
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
20202 - Communication engineering and systems
Result continuities
Project
<a href="/en/project/FW03010366" target="_blank" >FW03010366: Application of artificial intelligence to handle thermal expansions of machine tool</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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
SENSORS
ISSN
1424-8220
e-ISSN
1424-3210
Volume of the periodical
24
Issue of the periodical within the volume
8
Country of publishing house
CH - SWITZERLAND
Number of pages
18
Pages from-to
1-18
UT code for WoS article
001210028700001
EID of the result in the Scopus database
2-s2.0-85191384312