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- W3090304469 abstract "Temporary high traffic requests in cellular networks is a challenging problem to address. Recent advances in Unmanned Aerial Vehicles applied to cover these types of traffics. UAV -Mounted Mobile Base Stations placement is a challenging problem to achieve high performance. Different approaches have been proposed; however, user required traffic is not considered in UAV placement. We propose a new feature to apply to K-means clustering to find the optimum clusters. User required traffic is defined as a new feature to assign users to the UAVs. Our simulation results show that UAVs could be placed closer to the high traffic users to achieve higher performance." @default.
- W3090304469 created "2020-10-08" @default.
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- W3090304469 date "2020-10-03" @default.
- W3090304469 modified "2023-09-27" @default.
- W3090304469 title "Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering" @default.
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