Scheduling and resource allocation for wireless dynamic adaptive streaming of scalable videos over HTTP

Recently dynamic adaptive streaming over HTTP (DASH) has gained significant attentions. In this paper, we study DASH-based transmission of scalable videos in wireless broadband access networks (e.g. LTE, WiMAX), and propose a DASH-friendly scheduling and resource allocation scheme (DFSRA) to enhance the Quality-of-Experience (QoE) of wireless DASH users. By integrating DASH-based media delivery and radio-level adaptation in a cross-layer manner, the scheme can determine the optimal wireless resource allocation. A gradient-based algorithm is proposed to solve the optimization problem, which has the following advantages over traditional algorithms: (1) The characteristics of video content and scalable video coding are utilized. (2) The client buffer status is considered to reduce video playback interruption and buffer overflow. Simulations with the Qualnet tool demonstrate that our scheme achieves better performance than existing methods in the literature.