A Novel Video Transmission Optimization Mechanism Based on Reinforcement Learning and Edge Computing

Nan Hu, Xuming Cen, Fangjun Luan, Liangliang Sun, Chengdong Wu, Xingsi Xue
2021 Mobile Information Systems  
As we know, the video transmission traffic already constitutes 60% of Internet downlink traffic. The optimization of video transmission efficiency has become an important challenge in the network. This paper designs a video transmission optimization strategy that takes reinforcement learning and edge computing (TORE) to improve the video transmission efficiency and quality of experience. Specifically, first, we design the popularity prediction model for video requests based on the RL
more » ... ent learning) and introduce the adaptive video encoding method for optimizing the efficiency of computing resource distribution. Second, we design a video caching strategy, which adopts EC (edge computing) to reduce the redundant video transmission. Last, simulations are conducted, and the experimental results fully demonstrate the improvement of video quality and response time.
doi:10.1155/2021/6258200 fatcat:whexaclynjebxigtsk7d7k523i