Integrating UAVs as Transparent Relays into Mobile Networks: A Deep Learning Approach

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00345389" target="_blank" >RIV/68407700:21230/20:00345389 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/PIMRC48278.2020.9217280" target="_blank" >http://dx.doi.org/10.1109/PIMRC48278.2020.9217280</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PIMRC48278.2020.9217280" target="_blank" >10.1109/PIMRC48278.2020.9217280</a>

Result language
angličtina
Original language name
Integrating UAVs as Transparent Relays into Mobile Networks: A Deep Learning Approach
Original language description
Since flying base stations (FlyBSs) are energy constrained, it is convenient for them to act as transparent relays with minimal communication control and management functionalities. The challenge when using the transparent relays is the inability to measure the relaying channel quality between the relay and user equipment (UE). This channel quality information is required for communication-related functions, such as the UE association, however, this information is not available to the network. In this letter, we show that it is possible to determine the UEs' association based only on the information commonly available to the network, i.e., the quality of the cellular channels between conventional static base stations (SBSs) and the UEs. Our proposed association scheme is implemented through deep neural networks, which capitalize on the mutual relation between the unknown relaying channel from any UE to the FlyBS and the known cellular channels from this UE to multiple surrounding SBSs. We demonstrate that our proposed framework yields a sum capacity that is close to the capacity reached by solving the association via exhaustive search.
Czech name
—
Czech description
—

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)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications
ISBN
978-1-7281-4490-0
ISSN
1558-2612
e-ISSN
—
Number of pages
6
Pages from-to
—
Publisher name
IEEE
Place of publication
Boston
Event location
London
Event date
Aug 31, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000631491700191

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