Please use this identifier to cite or link to this item: http://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/4661
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dc.contributor.authorKumar, P-
dc.contributor.authorBhattacharyya, S-
dc.contributor.authorDarshi, S-
dc.contributor.authorMajhi, S-
dc.contributor.authorAlmohammedi, A A.-
dc.contributor.authorShailendra, S-
dc.date.accessioned2024-07-03T14:04:45Z-
dc.date.available2024-07-03T14:04:45Z-
dc.date.issued2024-07-03-
dc.identifier.urihttp://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/4661-
dc.description.abstractAbstract: This 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.language.isoen_USen_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.titleOutage Analysis Using Probabilistic Channel Model for Drone Assisted Multi-User Coded Cooperation Systemen_US
dc.typeArticleen_US
Appears in Collections:Year-2023

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