This paper studies the unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC), in which UAVs are dispatched as aerial dual-functional access points (APs) that can exploit the UAV maneuver control and strong line-of-sight (LoS) aerial-to-ground (A2G) links for efficient ISAC. In particular, we consider a scenario with one UAV-AP equipped with a vertically placed uniform linear array (ULA), which sends combined information and sensing signals to communicate with multiple users and at the same time sense potential targets at interested areas on the ground. Our objective is to jointly design the UAV maneuver together with the transmit beamforming for optimizing the communication performance while ensuring the sensing requirements. First, we consider the quasistationary UAV scenario, in which the UAV is deployed at an optimizable location over the whole ISAC mission period. In this case, we jointly optimize the UAV deployment location, as well as the transmit information and sensing beamforming to maximize the weighted sum-rate throughput of communication users, subject to the sensing beampattern gain requirements and transmit power constraint at the UAV.Although the joint UAV deployment and beamforming problem is non-convex, we find a high-quality solution by using the techniques of successive convex approximation (SCA) and semidefinite relaxation (SDR), together with a two-dimensional (2D) location search. Next, we consider the fully mobile UAV scenario, in which the UAV can fly over different locations during the ISAC mission period. In this case, we optimize the UAV flight trajectory, jointly with the transmit beamforming over time, to maximize the average weighted sum-rate throughput of communication users over the whole period, subject to

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