  Unmanned aerial vehicle (UAV)-assisted communications is a promising solution
to improve the performance of future wireless networks, where UAVs are deployed
as base stations for enhancing the quality of service (QoS) provided to ground
users when traditional terrestrial base stations are unavailable or not
sufficient. An effective framework is proposed in this paper to manage the
dynamic movement of multiple unmanned aerial vehicles (UAVs) in response to
ground user mobility, with the objective to maximize the sum data rate of the
ground users. First, we discuss the relationship between the air-to-ground
(A2G) path loss (PL) and the location of UAVs. Then a deep Q-network (DQN)
based method is proposed to adjust the locations of UAVs to maximize the sum
data rate of the user equipment (UE). Finally, simulation results show that the
proposed method is capable of adjusting UAV locations in a real-time condition
to improve the QoS of the entire network.
