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) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe202102185277 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2020
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Publish Date: | 2021-02-18 |
Description: |
AbstractUnmanned 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. see all
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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 |
OADOI: | https://oadoi.org/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 |
Subjects: | |
Copyright information: |
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