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dc.contributor.authorHellaoui, Hamed
dc.contributor.authorBagaa, Miloud
dc.contributor.authorChelli, Ali
dc.contributor.authorTaleb, Tarik
dc.contributor.authorYang, Bin
dc.date.accessioned2023-06-05T10:45:30Z
dc.date.available2023-06-05T10:45:30Z
dc.date.created2023-05-04T14:15:58Z
dc.date.issued2023
dc.identifier.citationHellaoui, H., Bagaa, M., Chelli, A., Taleb, T. & Yang, B. (2023). On Supporting Multi-Services in UAV-Enabled Aerial Communication for the Internet of Things. IEEE Internet of Things Journal, 1-16.en_US
dc.identifier.issn2327-4662
dc.identifier.urihttps://hdl.handle.net/11250/3069910
dc.description.abstractMulti-services are of fundamental importance in Unmanned Aerial Vehicle (UAV)-enabled aerial communications for the Internet of Things (IoT). However, the multi-services are challenging in terms of requirements and use of shared resources such that the traditional solutions for a single service are unsuitable for the multi-services. In this paper, we consider a UAV-enabled aerial access network for ground IoT devices, each of which requires two types of services, namely ultra Reliable Low Latency Communication (uRLLC) and enhanced Mobile Broadband (eMBB), measured by transmission delay and effective rate, respectively. We first consider a communication model that accounts for most of the propagation phenomena experienced by wireless signals. Then, we derive the expressions of the effective rate and the transmission delay, and formulate each service type as an optimization problem with the constraints of resource allocation and UAV deployment to enable multiservice support for the IoT. These two optimization problems are nonlinear and nonconvex and are generally difficult to be solved. To this end, we transform them into linear optimization problems, and propose two iterative algorithms to solve them. Based on them, we further propose a linear program algorithm to jointly optimize the two service types, which achieves a tradeoff of the effective rate and the transmission delay. Extensive performance evaluations have been conducted to demonstrate the effectiveness of the proposed approach in reaching a tradeoff optimization that enhances the two services.en_US
dc.language.isoengen_US
dc.relation.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10086569
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleOn Supporting Multi-Services in UAV-Enabled Aerial Communication for the Internet of Thingsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber16en_US
dc.source.journalIEEE Internet of Things Journalen_US
dc.identifier.doihttps://doi.org/10.1109/JIOT.2023.3262920
dc.identifier.cristin2145554
dc.relation.projectEC/H2020/the 5G!Drones Projecten_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.fulltextoriginal
cristin.qualitycode2


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal