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MELGAREJO, D. POKORNÝ, J. ŠEDA, P. NARAYANAN, A. NARDELLI, P. RASTI, M. HOŠEK, J. ŠEDA, M. RODRÍGUEZ, D. KOUCHERYAVY, Y. FRAIDENRAICH, G.
Originální název
Optimizing Flying Base Station Connectivity by RAN Slicing and Reinforcement Learning
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
The application of flying base stations (FBS) in wireless communication is becoming a key enabler to improve cellular wireless connectivity. Following this tendency, this research work aims to enhance the spectral efficiency of FBSs using the radio access network (RAN) slicing framework; this optimization considers that FBSs’ location was already defined previously. This framework splits the physical radio resources into three RAN slices. These RAN slices schedule resources by optimizing individual slice spectral efficiency by using a deep reinforcement learning approach. The simulation indicates that the proposed framework generally outperforms the spectral efficiency of the network that only considers the heuristic predefined FBS location, although the gains are not always significant in some specific cases. Finally, spectral efficiency is analyzed for each RAN slice resource and evaluated in terms of service-level agreement (SLA) to indicate the performance of the framework.
Klíčová slova
Flying Base Stations, UAVs, Location Optimization, Wireless Communication, Deep-reinforcement Learning
Autoři
MELGAREJO, D.; POKORNÝ, J.; ŠEDA, P.; NARAYANAN, A.; NARDELLI, P.; RASTI, M.; HOŠEK, J.; ŠEDA, M.; RODRÍGUEZ, D.; KOUCHERYAVY, Y.; FRAIDENRAICH, G.
Vydáno
17. 5. 2022
Nakladatel
IEEE
ISSN
2169-3536
Periodikum
IEEE Access
Ročník
10
Číslo
1
Stát
Spojené státy americké
Strany od
53746
Strany do
53760
Strany počet
15
URL
https://ieeexplore.ieee.org/document/9775679
Plný text v Digitální knihovně
http://hdl.handle.net/11012/208143
BibTex
@article{BUT177853, author="Dick Carrillo {Melgarejo} and Jiří {Pokorný} and Pavel {Šeda} and Arun {Narayanan} and Pedro Henrique Juliano {Nardelli} and Mehdi {Rasti} and Jiří {Hošek} and Miloš {Šeda} and Demóstenes Zegarra {Rodríguez} and Yevgeni {Koucheryavy} and Gustavo {Fraidenraich}", title="Optimizing Flying Base Station Connectivity by RAN Slicing and Reinforcement Learning", journal="IEEE Access", year="2022", volume="10", number="1", pages="53746--53760", doi="10.1109/ACCESS.2022.3175487", issn="2169-3536", url="https://ieeexplore.ieee.org/document/9775679" }