… This means that we focus on the resource optimization within a finite time horizon denoted
by T = {1, 2, ..., t, ..., T}, not just a time slot t as investigated in [1]. Specifically, at each time slot t…

… To that end, we aim to jointly optimize the 3-D UAV placements, transmit power, and cloud
… a multi UAV-aided MEC network consisting of a cloud server and multiple UAV clusters (see …

… , UAVs, and terrestrial user equipments (UEs). In this paper, a cellularconnected UAV network
is focused, where multiple UAVs … transmission optimization problem on sum-rate of UAV …

… studies the resource allocation optimization problem of UAV as a … Then, a resource allocation
optimization problem with the … Moreover, to solve the problem of resource allocation with …

… UAV-aided cellular network with frequency division multiple access (FDMA). A group of UAVs
… We focus on optimization for both overall throughput and fairness throughput (also known …

… vehicles was proposed, which jointly optimized the UAV trajectory and channel allocation
to … The UAV-enabled wireless power transfer network in [10] designed the UAV trajectory to …

… Further considering D2D communication with energy harvesting, resource optimization in
the UAV auxiliary network to maximize throughput per unit time was discussed in [15]. …

… UAV-enabled video streaming system, where a UAV is employed as an aerial BS for multiuser
video streaming, and study the joint optimization … optimization assumed that the UAV flies …

… optimization with fixed UAV resources and trajectory, followed by (2) the UAV resources
optimization with … , and finally, (3) we optimize the UAV trajectory with fixed cache placement and …

… resource optimization for multiple unmanned aerial vehicles (UAVs) to fully deliver critical
data in vehicular networks … We aim to minimize the number of deployed UAVs to fully serve all …