【摘要】 针对移动边缘计算(Mobile Edge Computing,MEC)的计算卸载决策的问题,基于强化学习方法提出了一个在多用户的MEC系统中的计算卸载决策算法(Offloading Decision algorithm based on Reinforcement Learning,ODRL)。ODRL算法根据任务模型、计算模型以及信道状态对任务进行卸载决策,采用强化学习方法求解最优计算卸载策略。仿真结果证明了所提出的ODRL算法与基线策略相比,具有更低的系统总成本。更多还原

【Abstract】 For the problem of computing offloading decision in mobile edge computing, this paper proposes an offloading decision algorithm based on enhanced learning in multiuser MEC system. According to the task model, calculation model and channel state,ODRL algorithm makes the task unloading decision and uses reinforcement learning method to solve the optimal computing unloading strategy. Simulation results show that the ODRL algorithm proposed in this paper has lower total system cost compared with the baseline strategy.更多还原