Using base stations mounted on an unmanned aerial vehicle (UAV-BSs) is a promising new evolution of wireless networks for the provision of on-demand high data rates. While many studies have explored deploying UAV-BSs in a green field —no existence of terrestrial BSs (T-BSs), this paper focuses on the deployment of UAV-BSs in the presence of a terrestrial network. The purpose of this article is twofold: To provide supply-side estimation for how many UAV-BSs are needed to support a terrestrial network so as to achieve a particular quality of service and to investigate where these UAV-BSs should hover. We propose a novel stochastic geometry-based network planning approach that focuses on the structure of the network to find strategic placement for multiple UAV-BSs in a large-scale network.

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Keywords Atmospheric modeling, Channel models, Drone placement., Indexes, Interference, low altitude platforms, Measurement, network planning, Planning, Signal to noise ratio, Stochastic geometry, Unmanned Aerial Vehicles
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Journal IEEE Wireless Communications Letters
Lagum, F. (Faraj), Bor-Yaliniz, I. (Irem), & Yanikomeroglu, H. (2017). Strategic Densification with UAV-BSs in Cellular Networks. IEEE Wireless Communications Letters. doi:10.1109/LWC.2017.2779483