Positioning and Association Rules for Transparent Flying Relay Stations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00350250" target="_blank" >RIV/68407700:21230/21:00350250 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/LWC.2021.3063909" target="_blank" >https://doi.org/10.1109/LWC.2021.3063909</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/LWC.2021.3063909" target="_blank" >10.1109/LWC.2021.3063909</a>
Alternative languages
Result language
angličtina
Original language name
Positioning and Association Rules for Transparent Flying Relay Stations
Original language description
Transparent flying relay stations (FlyRSs), represented by transparent relays mounted on unmanned aerial vehicles (UAVs), have the potential to improve cellular network’s capacity and coverage at little extra complexity and energy cost, especially when compared with non-transparent relays. As the transparent relays do not transmit reference signals, they do not lend themselves easily to channel estimation. This makes solving the problems of user association and positioning of transparent FlyRSs much harder. We propose a solution enabling an efficient association of users to the FlyRSs and determining suitable positions of the FlyRSs. Surprisingly, this can be done knowing neither the qualities of the channels linking the FlyRSs and the users nor the users’ location information. Our approach involves the users being grouped into clusters based on the channels to nearby static base stations via agglomerative hierarchical clustering. Then, 3D positions of one FlyRS per cluster are determined by deep neural networks. The proposal improves the users’ sum capacity with respect to existing solutions that rely on the knowledge of users’ positions.
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/GA18-27023S" target="_blank" >GA18-27023S: Communication in Self-optimizing Mobile Networks with Drones</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
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 Letters
ISSN
2162-2337
e-ISSN
2162-2345
Volume of the periodical
10
Issue of the periodical within the volume
6
Country of publishing house
US - UNITED STATES
Number of pages
5
Pages from-to
1276-1280
UT code for WoS article
000659548300027
EID of the result in the Scopus database
2-s2.0-85102271513