Cache allocation Algorithm of 5G Core Network Slicing Based on Soft Migration Actor Critic*

Abstract

In the complex environment of network slicing in 5G core network, such applications with severe demand on latency like ultra Reliable and Low Latency Communication for virtual reality, autonomous driving and remote control. A soft migration actor-critic based network slicing cache allocation algorithm under 5G core network is proposed for such applications. With the goal of reducing request latency and the cost of deploying network slices, a cache deployment model that minimizes latency and cost is established. The soft migration actor-critic (STAC) cache allocation algorithm is used to adjust the deployment by interacting with the environment non-stop to reduce the response latency of user requested contents more effectively, improve the user’s web service experience, and respond to user requests faster, while reducing the cost of deploying network slices to achieve the solution of the model. The simulation results show that the proposed cache allocation algorithm can effectively reduce the cost and user request latency.