In mobile networks, users may lose coverage when entering a building due to the high signal attenuation at windows and walls. Under such conditions, services with minimum bit-rate requirements, such as video streaming, often show poor Qualityof-Experience (QoE). We will present a Bayesian detector that combines measurements from two Smartphone sensors to decide if a user is inside a building or not. Based on this coverage classification, we will propose an HTTP adaptive streaming (HAS) algorithm to increase playback stability at a high average bitrate. Measurements in a typical office building show high accuracy for the presented detector and superior QoE for the proposed HAS algorithm.1 A video illustrating the measurement scenario and the QoE gain for adaptive streaming is available at https://youtu.be/qJibE2N37Yk.
HTTP Adaptive Streaming (HAS) techniques are now the dominant solution for video delivery in mobile networks. Over the past few years, several HAS algorithms have been introduced in order to improve user quality-of-experience (QoE) by bit-rate adaptation. eir di erence is mainly the required input information, ranging from network characteristics to application-layer parameters such as the playback bu er. Interestingly, despite the recent outburst in scienti c papers on the topic, a comprehensive comparative study of the main algorithm classes is still missing. In this paper we provide such comparison by evaluating the performance of the state-of-the-art HAS algorithms per class, based on data from eld measurements. We provide a systematic study of the main QoE factors and the impact of the target bu er level. We conclude that this target bu er level is a critical classi er for the studied HAS algorithms. While bu er-based algorithms show superior QoE in most of the cases, their performance may di er at the low target bu er levels of live streaming services. Overall, we believe that our ndings provide valuable insight for the design and choice of HAS algorithms according to networks conditions and service requirements.
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