Outage Analysis Using Probabilistic Channel Model for Drone Assisted Multi-User Coded Cooperation System

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dc.authoridBhattacharyya, Sagnik/0000-0003-4315-8281
dc.authoridDarshi, Sam/0000-0001-6254-0270
dc.authoridShailendra, Samar/0000-0001-9961-1001
dc.authoridAlmohammedi, Akram A./0000-0001-8476-0813
dc.contributor.authorKumar, Pankaj
dc.contributor.authorBhattacharyya, Sagnik
dc.contributor.authorDarshi, Sam
dc.contributor.authorMajhi, Sudhan
dc.contributor.authorAlmohammedi, Akram A.
dc.contributor.authorShailendra, Samar
dc.date.accessioned2024-09-29T16:04:31Z
dc.date.available2024-09-29T16:04:31Z
dc.date.issued2023
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThis paper proposes a statistical-based channel modelling approach for a drone assisted multi-user coded cooperation (DA-MUCC) for evaluating the performance metrics of a next-generation wireless communication system. The proposed approach may find its applications in smart cities, disaster management and agriculture for building reliable communication links among ground users (GUs)/user equipments (UEs) over the scenarios where an infrastructure-based network (like a Base Station (BS)) is difficult to establish or disrupted. In such scenarios, an air-to-ground (A2G) channel is modelled based on the probabilistic approach of line-of-sight (LoS) and statistical independence of the links. The network performance of the proposed system model is evaluated by closed-form average outage probability and average rate over the Rayleigh and Rician fading channel models. The analytical performance is corroborated by Monte-Carlo simulations and also compared with the existing state-of-the-art approaches. Finally, we derive the probability density function (PDF) for signal-to-noise ratio (SNR) of relay link which is useful under the scenarios where the direct links among GUs are in the deep fade.en_US
dc.identifier.doi10.1109/TVT.2023.3257229
dc.identifier.endpage10285en_US
dc.identifier.issn0018-9545
dc.identifier.issn1939-9359
dc.identifier.issue8en_US
dc.identifier.scopus2-s2.0-85151544413en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage10273en_US
dc.identifier.urihttps://doi.org/10.1109/TVT.2023.3257229
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6183
dc.identifier.volume72en_US
dc.identifier.wosWOS:001153701000047en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Transactions On Vehicular Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDronesen_US
dc.subjectRician channelsen_US
dc.subjectChannel modelsen_US
dc.subjectRelaysen_US
dc.subjectDownlinken_US
dc.subjectUplinken_US
dc.subjectAutonomous aerial vehiclesen_US
dc.subjectMulti-user cooperationen_US
dc.subjectDroneen_US
dc.subjectNetwork codingen_US
dc.subjectNetwork coding noiseen_US
dc.subjectRician channelen_US
dc.subjectRayleigh channelen_US
dc.subjectStatistical channel modelen_US
dc.subjectOutage probabilityen_US
dc.subjectRateen_US
dc.titleOutage Analysis Using Probabilistic Channel Model for Drone Assisted Multi-User Coded Cooperation Systemen_US
dc.typeArticleen_US

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