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dc.contributor.authorQin, Yujie
dc.contributor.authorKishk, Mustafa Abdelsalam
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2021-06-02T13:31:13Z
dc.date.available2021-04-12T06:12:03Z
dc.date.available2021-06-02T13:31:13Z
dc.date.issued2021
dc.identifier.citationQin, Y., Kishk, M. A., & Alouini, M.-S. (2021). On the Influence of Charging Stations Spatial Distribution on Aerial Wireless Networks. IEEE Transactions on Green Communications and Networking, 1–1. doi:10.1109/tgcn.2021.3085105
dc.identifier.issn2473-2400
dc.identifier.doi10.1109/tgcn.2021.3085105
dc.identifier.urihttp://hdl.handle.net/10754/668663
dc.description.abstractUsing drones for cellular coverage enhancement is a recent technology that has shown a great potential in various practical scenarios. However, one of the main challenges that limits the performance of drone-enabled wireless networks is the limited flight time. In particular, due to the limited on-board battery size, the drone needs to frequently interrupt its operation and fly back to a charging station to recharge/replace its battery. In addition, the charging station might be responsible to recharge multiple drones. Given that the charging station has limited capacity, it can only serve a finite number of drones simultaneously. Hence, in order to accurately capture the influence of the battery limitation on the performance, it is required to analyze the dynamics of the time spent by the drones at the charging stations. In this paper, we use tools from queuing theory and stochastic geometry to study the influence of each of the charging stations limited capacity and spatial density on the performance of a drone-enabled wireless network.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9444343/
dc.rights(c) 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.
dc.subjectStochastic geometry
dc.subjectPoisson Point Process
dc.subjectPoisson Cluster Process
dc.subjectUnmanned Aerial Vehicles.
dc.titleOn the Influence of Charging Stations Spatial Distribution on Aerial Wireless Networks
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Transactions on Green Communications and Networking
dc.eprint.versionPost-print
dc.identifier.pages1-1
dc.identifier.arxivid2104.01461
kaust.personQin, Yujie
kaust.personKishk, Mustafa Abdelsalam
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2021-04-12T06:12:48Z


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