Wireless bandwidth management for multiple video clients through network-assisted DASH

Today's video streaming services utilize widely adaptive streaming techniques implemented over HTTP. While the approach is robust and compatible with today's internet architecture, middleboxes, and CDNs, it leaves several places for optimization. This paper proposes enhancements to the video bitrate adaptation solution of adaptive HTTP streaming by defining two network-assisted adaptation approaches based on a cognitive network management architecture. The architecture considered in the paper supports enhanced network and service awareness and distributed control over video bitrate adaptation. The presented bandwidth management concepts are experimented in a testbed environment, including prototypes of the proposed algorithms, signaling framework, and video streaming service supporting MPEG-DASH. The implementation details and evaluation results of the work introduced in this overview paper are planned to be included into a follow-up paper.