TY - JOUR
T1 - Performance Evaluation of UAV-enabled Cellular Networks with Battery-limited Drones
AU - Qin, Yujie
AU - Kishk, Mustafa Abdelsalam
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2020
Y1 - 2020
N2 - Unmanned aerial vehicles (UAVs) can be used as flying base stations (BSs) to offload Macro-BSs in hotspots. However, due to the limited battery on-board, UAVs can typically stay in operation for less than 1.5 hours. Afterward, the UAV has to fly back to a dedicated charging station that recharges/replaces the UAV’s battery. In this paper, we study the performance of a UAV-enabled cellular network while capturing the influence of the spatial distribution of the charging stations. In particular, we use tools from stochastic geometry to derive the coverage probability of a UAV-enabled cellular network as a function of the battery size, the density of the charging stations, and the time required for recharging/replacing the battery.
AB - Unmanned aerial vehicles (UAVs) can be used as flying base stations (BSs) to offload Macro-BSs in hotspots. However, due to the limited battery on-board, UAVs can typically stay in operation for less than 1.5 hours. Afterward, the UAV has to fly back to a dedicated charging station that recharges/replaces the UAV’s battery. In this paper, we study the performance of a UAV-enabled cellular network while capturing the influence of the spatial distribution of the charging stations. In particular, we use tools from stochastic geometry to derive the coverage probability of a UAV-enabled cellular network as a function of the battery size, the density of the charging stations, and the time required for recharging/replacing the battery.
UR - http://hdl.handle.net/10754/664531
UR - https://ieeexplore.ieee.org/document/9153823/
U2 - 10.1109/LCOMM.2020.3013286
DO - 10.1109/LCOMM.2020.3013286
M3 - Article
SN - 2373-7891
SP - 1
EP - 1
JO - IEEE Communications Letters
JF - IEEE Communications Letters
ER -