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DC Field | Value | Language |
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dc.contributor.author | Kumar, P | - |
dc.contributor.author | Bhattacharyya, S | - |
dc.contributor.author | Darshi, S | - |
dc.contributor.author | Majhi, S | - |
dc.contributor.author | Almohammedi, A A. | - |
dc.contributor.author | Shailendra, S | - |
dc.date.accessioned | 2024-07-03T14:04:45Z | - |
dc.date.available | 2024-07-03T14:04:45Z | - |
dc.date.issued | 2024-07-03 | - |
dc.identifier.uri | http://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/4661 | - |
dc.description.abstract | 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. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Drones | en_US |
dc.subject | Rician channels | en_US |
dc.subject | Channel models | en_US |
dc.subject | Relays | en_US |
dc.subject | Downlink | en_US |
dc.subject | Uplink | en_US |
dc.subject | Autonomous aerial vehicles | en_US |
dc.title | Outage Analysis Using Probabilistic Channel Model for Drone Assisted Multi-User Coded Cooperation System | en_US |
dc.type | Article | en_US |
Appears in Collections: | Year-2023 |
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Full Text.pdf | 1.7 MB | Adobe PDF | View/Open Request a copy |
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