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• W4327852062 abstract "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." @default.
• W4327852062 created "2023-03-20" @default.
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• W4327852062 date "2023-08-01" @default.
• W4327852062 modified "2023-09-23" @default.
• W4327852062 title "Outage Analysis Using Probabilistic Channel Model for Drone Assisted Multi-User Coded Cooperation System" @default.
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• W4327852062 doi "https://doi.org/10.1109/tvt.2023.3257229" @default.
• W4327852062 hasPublicationYear "2023" @default.
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