无线网络中基于深度强化学习的内容缓存算法

ontent caching is considered as an integral part of content management in wireless networks. In this paper, we studied the Deep Reinforcement Learning (DRL) based content caching scheme in wireless networks. First, an optimization problem that aims to minimize the total cost of content delivery is formulated. Second, a DRL-based algorithm is proposed to implement real time management of content caching and delivery, which can approach the optimal solution without iterations during each decision epoch. Finally, the simulation results are provided to evaluate the performance of our proposed scheme, which show that it can achieve lower cost than the existing content caching schemes.