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Detail publikačního výsledku
KIRUBAKARAN, B.; YOUNESIAN, E.; HOŠEK, J.
Originální název
Realistic Optimization Framework for UAV-BS Deployment in Integrated Aerial-Terrestrial Networks
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
we introduce a realistic optimization framework that combines Constrained K-means clustering with the Particle Swarm Optimization (PSO) algorithm for optimizing the positioning of UAVBSs in NTNs. -The proposed scheme is interesting as it takes into account real-world operational constraints typical in terrestrial and NTN contexts. -The results show notable improvements in average data rates for mobile users compared to conventional approaches, such as PSO-based UAV-BS positions.
Anglický abstrakt
Klíčová slova
Unmanned Aerial Vehicles; Non-Terrestrial Networks; Network Optimization; Constrained K-Means; Particle Swarm Optimization
Klíčová slova v angličtině
Autoři
Rok RIV
2025
Vydáno
02.09.2024
ISBN
979-8-3503-6225-1
Kniha
35th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications PIMRC 2024, Valencia, Spain., September 2-5, 2024
Strany od
401
Strany do
408
Strany počet
7
BibTex
@inproceedings{BUT189006, author="Balaji {Kirubakaran} and Elham {Younesian} and Jiří {Hošek}", title="Realistic Optimization Framework for UAV-BS Deployment in Integrated Aerial-Terrestrial Networks", booktitle="35th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications PIMRC 2024, Valencia, Spain., September 2-5, 2024", year="2024", pages="401--408", doi="10.1109/PIMRC59610.2024.10817405", isbn="979-8-3503-6225-1" }