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.

Additional Metadata
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
Persistent URL
Journal IEEE Wireless Communications Letters
Lagum, F. (Faraj), Bor-Yaliniz, I. (Irem), & Yanikömeroǧlu, H. (2017). Strategic Densification with UAV-BSs in Cellular Networks. IEEE Wireless Communications Letters. doi:10.1109/LWC.2017.2779483