Joint Mobile Charging and Coverage-Time Extension for Unmanned Aerial Vehicles

In modern networks, the use of drones as mobile base stations (MBSs) has been discussed for coverage flexibility. However, realization drone-based networks raises several issues. One critical issues is are extremely power-hungry. To overcome this, we need to characterize a new type drones, so-called charging which can deliver energy MBS drones. Motivated by fact that also be charged, deploy ground-mounted towers delivering We introduce energy-efficiency maximization problem, partitioned into two independently separable tasks. More specifically, our first optimization task, two-stage matching proposed due inherent nature network model, where aims schedule between and while second solves scheduling analyze how convert formulation containing non-convex terms another one only with convex terms. As each drone conducts energy-aware time-average transmit power allocation minimization subject stability via Lyapunov optimization. Our solutions enable extend their lifetimes; in turn, coverage-time extended.