Placement Optimization of UAV-Mounted Mobile Base Stations

In terrestrial communication networks without fixed infrastructure, unmanned aerial vehicle-mounted mobile base stations (MBSs) provide an efficient solution to achieve wireless connectivity. This letter aims to minimize the number of MBSs needed to provide wireless coverage for a group of distribut...

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Bibliographic Details
Published in:	IEEE communications letters Vol. 21; no. 3; pp. 604 - 607
Main Authors:	Lyu, Jiangbin, Zeng, Yong, Zhang, Rui, Lim, Teng Joon
Format:	Journal Article
Language:	English
Published:	IEEE 01.03.2017
Subjects:	Base stations Clustering algorithms geometric disk cover problem Heuristic algorithms mobile base station placement Mobile communication Partitioning algorithms Spirals Unmanned aerial vehicles user coverage Wireless communication
ISSN:	1089-7798
Online Access:	Get full text
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Abstract	In terrestrial communication networks without fixed infrastructure, unmanned aerial vehicle-mounted mobile base stations (MBSs) provide an efficient solution to achieve wireless connectivity. This letter aims to minimize the number of MBSs needed to provide wireless coverage for a group of distributed ground terminals (GTs), ensuring that each GT is within the communication range of at least one MBS. We propose a polynomial-time algorithm with successive MBS placement, where the MBSs are placed sequentially starting on the area perimeter of the uncovered GTs along a spiral path toward the center, until all GTs are covered. Numerical results show that the proposed algorithm performs favorably compared with other schemes in terms of the number of required MBSs as well as time complexity.
AbstractList	In terrestrial communication networks without fixed infrastructure, unmanned aerial vehicle-mounted mobile base stations (MBSs) provide an efficient solution to achieve wireless connectivity. This letter aims to minimize the number of MBSs needed to provide wireless coverage for a group of distributed ground terminals (GTs), ensuring that each GT is within the communication range of at least one MBS. We propose a polynomial-time algorithm with successive MBS placement, where the MBSs are placed sequentially starting on the area perimeter of the uncovered GTs along a spiral path toward the center, until all GTs are covered. Numerical results show that the proposed algorithm performs favorably compared with other schemes in terms of the number of required MBSs as well as time complexity.
Author	Rui Zhang Jiangbin Lyu Yong Zeng Teng Joon Lim
Author_xml	– sequence: 1 givenname: Jiangbin orcidid: 0000-0001-5609-7647 surname: Lyu fullname: Lyu, Jiangbin – sequence: 2 givenname: Yong orcidid: 0000-0002-3670-0434 surname: Zeng fullname: Zeng, Yong – sequence: 3 givenname: Rui surname: Zhang fullname: Zhang, Rui – sequence: 4 givenname: Teng Joon surname: Lim fullname: Lim, Teng Joon
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Snippet	In terrestrial communication networks without fixed infrastructure, unmanned aerial vehicle-mounted mobile base stations (MBSs) provide an efficient solution...
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SubjectTerms	Base stations Clustering algorithms geometric disk cover problem Heuristic algorithms mobile base station placement Mobile communication Partitioning algorithms Spirals Unmanned aerial vehicles user coverage Wireless communication
Title	Placement Optimization of UAV-Mounted Mobile Base Stations
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