University of Oulu

T. Sivalingam, K. B. Shashika Manosha, N. Rajatheva, M. Latva-aho and M. B. Dissanayake, "Positioning of Multiple Unmanned Aerial Vehicle Base Stations in Future Wireless Network," 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), Antwerp, Belgium, 2020, pp. 1-6, doi: 10.1109/VTC2020-Spring48590.2020.9129398

Positioning of multiple unmanned aerial vehicle base stations in future wireless network

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Author: Sivalingam, Thushan1; Manosha, K. B. Shashika1; Rajatheva, Nandana1;
Organizations: 1Centre for Wireless Communications, Univeristy of Oulu, Oulu, Finland
2Dept. Electrical and Electronic Engineering, Faculty of Engineering, University of Peradeniya, Sri Lanka
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2021-02-18


Unmanned aerial vehicle (UAV) base stations (BSs) are reliable and efficient alternative to full fill the coverage and capacity requirements when the backbone network fails to provide such requirements due to disasters. In this paper, we consider optimal UAV-deployment problem in 3D space for a mmWave network. The objective is to deploy multiple aerial BSs simultaneously to completely serve the ground users. We develop a novel algorithm to find the feasible positions for a set of UAV-BSs from a predefined set of locations, subject to a signal-to-interference-plus-noise ratio (SINR) constraint of every associated user, UAV-BS’s limited hovering altitude constraint and restricted operating zone constraint. We cast this 3D positioning problem as an ℓ 0 minimization problem. This is a combinatorial, NP-hard problem. We approximate the ℓ 0 minimization problem as non-combinatorial ℓ 1 -norm problem. Therefore, we provide a suboptimal algorithm to find a set of feasible locations for the UAV-BSs to operate. The analysis shows that the proposed algorithm achieves a set of the location to deploy multiple UVABSs simultaneously while satisfying the constraints.

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Series: IEEE Vehicular Technology Conference
ISSN: 1090-3038
ISSN-L: 1090-3038
ISBN: 978-1-7281-5207-3
ISBN Print: 978-1-7281-4053-7
Article number: 9129398
DOI: 10.1109/VTC2020-Spring48590.2020.9129398
Host publication: 91st IEEE Vehicular Technology Conference, VTC Spring 2020
Conference: IEEE Vehicular Technology Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
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