# HTTP adaptive streaming with indoors-outdoors detection in mobile networks

## TL;DR

This paper introduces a Bayesian indoor-outdoor detection method using smartphone sensors and an adaptive streaming algorithm to improve video QoE in mobile networks with coverage issues inside buildings.

## Contribution

It presents a novel Bayesian detector for indoor-outdoor classification and an adaptive streaming algorithm tailored for indoor coverage scenarios.

## Key findings

- High accuracy indoor-outdoor detection in office environments
- Improved QoE with the proposed HAS algorithm
- Enhanced playback stability at high bitrates

## Abstract

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.