A statistical approach to smooth video quality adaptation in IEEE 802.11 wireless LANs

Abstract

Recently, HTTP Adaptive Streaming is a de facto video delivery mechanism which adapts video quality to user-specific circumstance for better QoE. In this paper, we apply a statistical method to bandwidth estimation procedures to stabilize video quality adaptation in highly dynamic networks, e.g., WiFi. Simulation results reveal that our proposal can achieve a smaller variation of video quality and less quality switch events by smoothing estimated bandwidth while keeping high utilization of wireless capacity, i.e, the same average bit rate as other schemes.