Coverage Optimization with a Dynamic Network of Drone Relays
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comunitat-uji-handle2:10234/7038
comunitat-uji-handle3:10234/8634
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Title
Coverage Optimization with a Dynamic Network of Drone RelaysDate
2019-07-09Publisher
Institute of Electrical and Electronics Engineers; IEEEISSN
1536-1233; 1558-0660Bibliographic citation
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.Type
info:eu-repo/semantics/articlePublisher version
https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7755Version
info:eu-repo/semantics/acceptedVersionSubject
Abstract
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. [-]
Is part of
IEEE Transactions on Mobile Computing ( Volume: 19, Issue: 10, Oct. 1 2020)Funder Name
Ministerio de Educación, Cultura y Deporte | Ministerio de Economía, Industria y Competitividad | Ministerios de Ciencia e Innovación y de Universidades
Project code
FPU15/02051 | RYC-2014-16285 | TIN2017-88749-R
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http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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