Print Email Facebook Twitter Drone-Assisted Cellular Networks Title Drone-Assisted Cellular Networks: Optimal Positioning and Load Management Author Pijnappel, T. R. (Eindhoven University of Technology) Van Den Berg, J. L. (TNO; University of Twente; Centrum Wiskunde & Informatica (CWI)) Borst, S. C. (Eindhoven University of Technology) Litjens, R. (TU Delft Network Architectures and Services; TNO) Date 2021 Abstract The use of drone base stations offers an agile mechanism to safeguard coverage and provide capacity relief when cellular networks are under stress. Such stress conditions can occur for example in case of special events with massive crowds or network outages. In this paper we focus on a disaster scenario with emergence of a hotspot, and analyze the impact of the drone position (altitude, horizontal position) and selection bias on the network performance. We determine the optimal settings of these control parameters as a function of the hotspot location, and demonstrate that the optimized values can drastically reduce the fraction of failed calls. Subject drone positioningDrone-assisted cellular networksload managementperformance assessment To reference this document use: http://resolver.tudelft.nl/uuid:44c8cd0a-66a3-45bb-beb5-067107e603ea DOI https://doi.org/10.1109/VTC2021-Spring51267.2021.9448643 Publisher IEEE ISBN 9781728189642 Source 2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings Event 93rd IEEE Vehicular Technology Conference, VTC 2021-Spring, 2021-04-25 → 2021-04-28, Virtual, Online Series IEEE Vehicular Technology Conference, 1550-2252, 2021-April Part of collection Institutional Repository Document type conference paper Rights © 2021 T. R. Pijnappel, J. L. Van Den Berg, S. C. Borst, R. Litjens Files PDF DroneAssistedCellularNetw ... h_2021.pdf 448.35 KB Close viewer /islandora/object/uuid:44c8cd0a-66a3-45bb-beb5-067107e603ea/datastream/OBJ/view