移动网络中具有室内外检测的HTTP自适应流

S. Mekki, Theodoros Karagkioules, S. Valentin
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引用次数: 21

摘要

在移动网络中,由于窗户和墙壁的高信号衰减,用户可能在进入建筑物时失去覆盖范围。在这种情况下,具有最低比特率要求的服务,如视频流,通常表现出较差的体验质量(QoE)。我们将分两步处理这个问题。首先,我们提出了一个贝叶斯检测器,它结合了两个智能手机传感器的测量结果,以确定用户是否在建筑物内。其次,我们扩展了广泛使用的HTTP自适应流(HAS)算法,以考虑覆盖分类。在典型办公环境中的测量表明,所提出的检测器具有很高的精度,所提出的HAS算法具有优越的QoE。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HTTP adaptive streaming with indoors-outdoors detection in mobile networks
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 Quality-of-Experience (QoE). We will approach this problem in two steps. First, we present a Bayesian detector that combines measurements from two Smartphone sensors to decide if a user is inside a building or not. Second, we extend a widely-used HTTP adaptive streaming (HAS) algorithm to take coverage classification into account. Measurements in a typical office environment show high accuracy for the presented detector and superior QoE for the proposed HAS algorithm.
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