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dc.contributor.authorEltanani, S.
dc.contributor.authorGhafir, Ibrahim
dc.date.accessioned2022-04-05T17:11:55Z
dc.date.accessioned2022-05-04T14:29:17Z
dc.date.available2022-04-05T17:11:55Z
dc.date.available2022-05-04T14:29:17Z
dc.date.issued2021-05
dc.identifier.citationEltanani S and Ghafir I (2021) Aerial Wireless Networks: Proposed Solution for Coverage Optimisation. IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2021, pp. 1-6.
dc.identifier.urihttp://hdl.handle.net/10454/18954
dc.descriptionYes
dc.description.abstractUnmanned Aerial Vehicles (UAVs), commercially known as drones, have received great attention. This is due to their versatility and applicability to a large number of domains such as surveillance system, aerial photography, traffic control, flyable base stations to provide a broadband coverage and even for future urban transportation services. In this paper, the optimal distance between multiple aerial base stations has analytically been derived, based on an aerial coverage area computation. This is a fundamental wireless metric that can significantly minimise the intra-overlapped coverage and also can enhance wireless coverage connectivity and performance of aerial wireless networks. The novelty of our approach brings a better aerial optimal design understanding for UAVs communications performance without the need for establishing an aerial deployment setup.
dc.language.isoenen
dc.rights© 2021 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.
dc.subjectUnmanned Aerial Vehicles (UAVs)
dc.subjectWireless coverage
dc.subjectOptimal distance
dc.subjectUAVs Communications
dc.titleAerial wireless networks: Proposed solution for coverage optimisation
dc.status.refereedYes
dc.date.application2021-07-19
dc.typeConference paper
dc.type.versionAccepted manuscript
dc.identifier.doihttps://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484609
dc.rights.licenseUnspecified
dc.date.updated2022-04-05T17:11:57Z
refterms.dateFOA2022-05-04T14:30:37Z
dc.openaccess.statusembargoedAccess


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