TL;DR
This paper introduces a data-driven method using smartphone sensors and machine learning to predict Wi-Fi connection loss, enabling seamless handovers with improved streaming quality and reduced cellular data usage.
Contribution
It presents a novel sensor-based prediction model combined with Multipath TCP for proactive Wi-Fi handovers, enhancing user experience and network efficiency.
Findings
Wi-Fi connection loss can be predicted 15 seconds in advance with high accuracy.
Using predictions improves streaming quality and reduces cellular data consumption.
The approach is validated on real-world data and practical streaming experiments.
Abstract
We present a novel data-driven approach to perform smooth Wi-Fi/cellular handovers on smartphones. Our approach relies on data provided by multiple smartphone sensors (e.g., Wi-Fi RSSI, acceleration, compass, step counter, air pressure) to predict Wi-Fi connection loss and uses Multipath TCP to dynamically switch between different connectivity modes. We train a random forest classifier and an artificial neural network on real-world sensor data collected by five smartphone users over a period of three months. The trained models are executed on smartphones to reliably predict Wi-Fi connection loss 15 seconds ahead of time, with a precision of up to 0.97 and a recall of up to 0.98. Furthermore, we present results for four DASH video streaming experiments that run on a Nexus 5 smartphone using available Wi-Fi/cellular networks. The neural network predictions for Wi-Fi connection loss are…
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
Figure 14Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
\newtoggle
comments \toggletruecomments
