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- W4210672413 abstract "The UAV deployment as well as power allocation is critical in emergency rescue with the practical diverse re-quirements of data applications. In this paper, a UAV 3-D deployment scheme driven by multi-level quality of service (QoS) is first presented. Specifically, to harvest more performance gain, a fuzzy clustering-based initialization method is proposed, which can achieve more reliable accuracy of clustering compared with traditional clustering methods. Further, considering more comprehensive effect in terms of particle diversity and iteration, a novel inertia weight update method is developed to accelerate convergence. Simulation results demonstrate that our proposed scheme outperforms other schemes." @default.
- W4210672413 created "2022-02-08" @default.
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- W4210672413 date "2021-12-01" @default.
- W4210672413 modified "2023-09-22" @default.
- W4210672413 title "Joint Optimization of UAVs 3-D Placement and Power Allocation in Emergency Communications" @default.
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- W4210672413 doi "https://doi.org/10.1109/globecom46510.2021.9685172" @default.
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