Trajectory-Aware Buffering Strategy for HTTP adaptive streaming QoE enhancement for on-the-go users

The rise in popularity and the increasing use of HTTP video streaming in people's lives caused increased research on adaptive strategies. Devices and applications that support HTTP video streaming are used daily by on-the-go users. Unpredictability and variability of the environmental parameters, such as network link quality or bandwidth, are caused by traveling at vehicular speed through the real environment. Environmental parameters present the biggest challenge for adaptive streaming for on-the-go users, as they impact video playback. Video quality selection, as well as various factors of video playback, have an impact on the Quality of Experience (QoE) for on-the-go users. In this paper, we propose an HTTP adaptive streaming strategy that enhances QoE for on-the-go users, utilizing trajectory-awareness. The mentioned strategy uses different mechanisms to achieve trajectory-aware video playback. As a result, playback is robust, adaptive, and prepared in advance for the real environment parameter variations and unpredictability.