Admission control and end-to-end slicing for video streaming in MEC-empowered cellular networks

Abstract

Cache-and network-agnostic Dynamic Adaptive Streaming over HTTP creates oscillation dynamics upon delivering mobile video content over cache-and slice-enabled data networks. In this paper, we bring to light the problem of user admission control, end-to-end slicing and video bitrate selection in next-generation 5G and Beyond 5G mobile data networks, where some minimum throughput guarantees can be provided for both the user-to-base-station and base-stationto-content-delivery-network links. Accordingly, we propose an exact algorithm to identify feasible bitrates and their minimum throughput requirements when the multi-access edge computing (MEC) cellular base stations has cached a known subset of video segments, potentially encoded at different resolutions, for a tagged video file. Simulation results provide valuable insights for user admission control, end-to-end slicing, video bitrate selection and caching in slice-enabled MEC-empowered cellular networks.