  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 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.
