Peer-Reviewed Journal Details
Mandatory Fields
Qin Y.;Kishk M.A.;Alouini M.S.
2020
December
IEEE Communications Letters
Performance evaluation of uav-enabled cellular networks with battery-limited drones
Published
()
Optional Fields
availability probability coverage probability drone Poisson point process Stochastic geometry
24
12
2664
2668
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 letter, 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.
1089-7798
10.1109/LCOMM.2020.3013286
Grant Details