Increasing data rate of LoRa technology using frequency division multiplex
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU150084" target="_blank" >RIV/00216305:26220/23:PU150084 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/3638782.3638833" target="_blank" >http://dx.doi.org/10.1145/3638782.3638833</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3638782.3638833" target="_blank" >10.1145/3638782.3638833</a>
Alternative languages
Result language
angličtina
Original language name
Increasing data rate of LoRa technology using frequency division multiplex
Original language description
LoRa (Long-Range) modulation is a type of wireless communication technology designed to provide long-range, low-power connectivity for Internet of Things (IoT) devices. Compared to other technologies, it is characterized by the ability to successfully receive data up to 20 dB below the noise floor. However, the main disadvantage is that LoRa is only able to transmit a small amount of data, and therefore this technology has limited use. In this paper, we present a LoRa frequency-division multiplex design, which makes it possible to transmit a larger volume of data without long channel blocking (time on air). This article summarizes recent research on LoRa enhancements and presents a complete proposal. We have also provided results from a real measurement showing the effect of the number of parallel channels on the power spectral density.
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
<a href="/en/project/FW07010004" target="_blank" >FW07010004: Utilization of Advantages of 5th Generation Network for Monitoring, Optimization and Effectiveness of Manufacturing Process in Smart Factories</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICCNS 2023 Proceedings
ISBN
979-8-4007-0796-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1-5
Publisher name
Neuveden
Place of publication
neuveden
Event location
Fuzhou, China
Event date
Dec 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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