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.

本文研究了多服务器移动边缘计算系统中重叠领域的多用户卸载问题。我们将原始问题划分为两个阶段：卸载决策阶段和请求调度阶段。为了防止终端在卸载过程中超出服务范围，我们考虑终端的移动性参数，并根据人类行为模型进行卸载决策，然后引入基于移动性参数和服务器负载的服务器评估机制来选择最佳的卸载服务器。为了充分利用服务器资源，在调度卸载请求时，我们设计了基于双深度 Q 网络（DDQN）的回报评估算法，考虑任务的优先级。最后，进行数值模拟验证了我们提出的方法优于传统的数学计算方法和 DQN 算法。