Structured Reinforcement Learning for Media Streaming at the Wireless Edge

arXiv:2404.07315v1 Announce Type: cross
Abstract: Media streaming is the dominant application over wireless edge (access) networks. The increasing softwarization of such networks has led to efforts at intelligent control, wherein application-specific actions may be dynamically taken to enhance the user experience. The goal of this work is to develop and demonstrate learning-based policies for optimal decision making to determine which clients to dynamically prioritize in a video streaming setting. We formulate the policy design question as a constrained Markov decision …

abstract application arxiv control cs.ai cs.lg cs.sy edge eess.sy experience intelligent media networks reinforcement reinforcement learning streaming type wireless work