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Optimum deployment of multiple UAVs for coverage area maximization in the presence of co-channel interference

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Khuwaja, Aziz A., Zheng, Gan, Chen, Yunfei and Feng, Wei (2019) Optimum deployment of multiple UAVs for coverage area maximization in the presence of co-channel interference. IEEE Access, 7 . pp. 85203-85212. doi:10.1109/ACCESS.2019.2924720 ISSN 2169-3536.

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Official URL: https://doi.org/10.1109/ACCESS.2019.2924720

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Abstract

The use of unmanned aerial vehicle (UAV) as aerial base stations can provide wireless communication services in the form of UAV-based small cells (USCs). Thus, the major design challenge that needs to be addressed is the coverage maximization of such USCs in the presence of co-channel interference generated by multiple UAVs operating within a specific target area. Consequently, the efficient deployment strategy is imperative for USCs while optimizing the coverage area performance to compensate the impact of interference. To this end, this paper presents a coordinated multi-UAV strategy in two scenarios. In the first scenario, symmetric placement of UAVs is assumed at a common optimal altitude and transmit power. In the second scenario, asymmetric deployment of UAVs with different altitudes and transmit powers is assumed. Then, the coverage area performance is investigated as a function of separation distance between UAVs which are deployed in a certain geographical area to satisfy a target signal-to-interference-plus-noise ratio (SINR) at the cell boundary. Finally, the system-level performance of a boundary user is studied in terms of the coverage probability. Numerical results unveils that the SINR threshold, the separation distance, and the number of UAVs and their formations should be carefully selected to achieve the maximum coverage area inside and to reduce the unnecessary expansion outside the target area. Thus, this paper provides important design guidelines for the deployment of multiple UAVs in presence of co-channel interference.

Item Type: Journal Article
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Drone aircraft , Wireless communication systems , Wireless communication systems -- Interference
Journal or Publication Title: IEEE Access
Publisher: IEEE
ISSN: 2169-3536
Official Date: 24 June 2019
Dates:
DateEvent
24 June 2019Published
19 June 2019Accepted
Volume: 7
Page Range: pp. 85203-85212
DOI: 10.1109/ACCESS.2019.2924720
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 21 June 2019
Date of first compliant Open Access: 28 June 2019
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
L172041Natural Science Foundation of Beijing Municipalityhttp://dx.doi.org/10.13039/501100004826
61771286[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
61701457[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
91638205[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
61671478[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
UNSPECIFIEDTsinghua Universityhttp://dx.doi.org/10.13039/501100004147
EP/N007840/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
RPG-2017-129Leverhulme Trusthttp://dx.doi.org/10.13039/501100000275
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