  In this paper, we investigate a multi-user offloading problem in the
overlapping domain of a multi-server mobile edge computing system. We divide
the original problem into two stages: the offloading decision making stage and
the request scheduling stage. To prevent the terminal from going out of service
area during offloading, we consider the mobility parameter of the terminal
according to the human behaviour model when making the offloading decision, and
then introduce a server evaluation mechanism based on both the mobility
parameter and the server load to select the optimal offloading server. In order
to fully utilise the server resources, we design a double deep Q-network
(DDQN)-based reward evaluation algorithm that considers the priority of tasks
when scheduling offload requests. Finally, numerical simulations are conducted
to verify that our proposed method outperforms traditional mathematical
computation methods as well as the DQN algorithm.
