Optimization of Transmission Power for NOMA in Networks with Flying Base Stations

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00345245" target="_blank" >RIV/68407700:21230/20:00345245 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/VTC2020-Fall49728.2020.9348645" target="_blank" >http://dx.doi.org/10.1109/VTC2020-Fall49728.2020.9348645</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/VTC2020-Fall49728.2020.9348645" target="_blank" >10.1109/VTC2020-Fall49728.2020.9348645</a>

Result language
angličtina
Original language name
Optimization of Transmission Power for NOMA in Networks with Flying Base Stations
Original language description
Deployment of unmanned aerial vehicles (UAVs) as flying base stations (FlyBSs) is considered as an efficient tool to enhance capacity of mobile networks and to facilitate communication in emergency cases. The improvement provided by such network requires a dynamic positioning of the FlyBSs with respect to the mobile users. In this paper, we focus on an optimization of transmission power of the FlyBS in networks with non-orthogonal multiple access (NOMA). We propose a solution jointly positioning the FlyBS and selecting the optimal grouping of users for NOMA in order to minimize the FlyBS’s transmission power under the constraint on guaranteeing a minimum required capacity for the mobile users. Moreover, we derive the grouping of users corresponding to the optimal transmission power in a low-degree polynomial time, which makes it suitable for realtime applications. According to the simulations, the proposed method brings up to 31% of FlyBS’s transmission power saving compared to existing solutions.
Czech name
—
Czech description
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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 92nd Vehicular Technology Conference: VTC2020-Fall
ISBN
978-1-7281-9484-4
ISSN
1090-3038
e-ISSN
1550-2252
Number of pages
7
Pages from-to
—
Publisher name
IEEE Conference Publications
Place of publication
Piscataway
Event location
Victoria
Event date
Nov 18, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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