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arXiv · 2010.01236

Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering

Amir Mirzaeinia·Mehdi Mirzaeinia·Mohammad Shekaramiz·Mostafa Hassanalian
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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.

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Amir Mirzaeinia, Mehdi Mirzaeinia, Mohammad Shekaramiz, Mostafa Hassanalian. 2020-10-03. Placement of UAV-Mounted Mobile Base Station through User Load-Feature K-means Clustering. https://arxiv.org/abs/2010.01236

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