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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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