Coverage Optimization with a Dynamic Network of Drone Relays
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Título
Coverage Optimization with a Dynamic Network of Drone RelaysFecha de publicación
2019-07-09Editor
Institute of Electrical and Electronics Engineers; IEEEISSN
1536-1233; 1558-0660Cita bibliográfica
ARRIBAS, Edgar; MANCUSO, Vincenzo; CHOLVI, Vicent. Coverage optimization with a dynamic network of drone relays. IEEE Transactions on Mobile Computing, 2019, vol. 19, no 10, p. 2278-2298.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7755Versión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
The integration of aerial base stations carried by drones in cellular networks offers promising opportunities to enhance the connectivity enjoyed by ground users. In this paper, we propose an optimization framework ... [+]
The integration of aerial base stations carried by drones in cellular networks offers promising opportunities to enhance the connectivity enjoyed by ground users. In this paper, we propose an optimization framework for the 3-D placement and repositioning of a fleet of drones with a realistic inter-drone interference model and drone connectivity constraints. We show how to maximize network coverage by means of an extremal-optimization algorithm. The design of our algorithm is based on a mixed-integer non-convex program formulation for a coverage problem that is NP-Complete, as we prove in the paper. We not only optimize drone positions in a 3-D space in polynomial time, but also assign flight routes solving an assignment problem and using a strong geometrical tool, namely Bézier curves, which are extremely useful for non-uniform and realistic topologies. Specifically, we propose to fly drones following Bézier curves to seek the chance of approaching to clusters of ground users. This enhances coverage over time while users and drones move. We assess the performance of our proposal for synthetic scenarios as well as realistic maps extracted from the topology of a capital city. We demonstrate that our framework is near-optimal and using Bézier curves increases coverage up to 47 percent while drones move. [-]
Publicado en
IEEE Transactions on Mobile Computing ( Volume: 19, Issue: 10, Oct. 1 2020)Entidad financiadora
Ministerio de Educación, Cultura y Deporte | Ministerio de Economía, Industria y Competitividad | Ministerios de Ciencia e Innovación y de Universidades
Código del proyecto o subvención
FPU15/02051 | RYC-2014-16285 | TIN2017-88749-R
Derechos de acceso
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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