Publication detail

Realistic Optimization Framework for UAV-BS Deployment in Integrated Aerial-Terrestrial Networks

KIRUBAKARAN, B. YOUNESIAN, E. HOŠEK, J.

Original Title

Type

conference paper

Language

English

Original Abstract

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.

Keywords

Unmanned Aerial Vehicles; Non-Terrestrial Networks; Network Optimization; Constrained K-Means; Particle Swarm Optimization

Authors

KIRUBAKARAN, B.; YOUNESIAN, E.; HOŠEK, J.

Released

2. 9. 2024

ISBN

979-8-3503-6225-1

Book

35th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications PIMRC 2024, Valencia, Spain., September 2-5, 2024

Pages from

401

Pages to

408

Pages count

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",
  isbn="979-8-3503-6225-1"
}