engleski

Context-Aware Algorithm for Enhancing Quality of on-the-go Media Streaming in no Signal Areas

Video streaming is continuously growing in popularity and poses the largest consumption of mobile data. Mobile users are frequently streaming content while traveling, and the rate is only going to be increased with the upcoming arrival of autonomous vehicles. Unpredictable fluctuations in throughput of the mobile data can lead to interruptions of video playback. The interruptions are caused by the inability of most HTTP Adaptive Streaming systems to either predict fluctuations or adapt to them in time. Areas without network signal are even greater threats to continuous video playback. If not detected in time, these areas can cause prolonged periods with no playback. In this paper, we offer a system that uses context information of a defined route to plan out the quality of each downloaded segment en route. The system aims to minimize video stall occurrences while delivering a higher quality stream through areas with no network signal.

Adaptive Streaming ; Quality of Experience ; Mobile Network ; Resource Allocation ; Throughput Prediction

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