Software

1) Signal Collect Tool

This tool was developed during an internship project by Yessine Ben Kheder and Roukaya Ben Salah. The project was supervised by me and Illyyne Saffar. This tool is an android application that collects LTE signals such as RSRP, RSRQ, CQI, etc.

The users can choose an activity from a drop down menu in order to label the data that is being collected at that instant. For example if the user is walking then the collected signals will be tagged as walking.

This data can be used to learn indoor/outdoor classification or user mobility classification based on mobile signals. The tool works, but some todo items are remaining such as solving the issue of no data collection when mobile is in sleep mode, etc.

https://github.com/ksingh25/SignalCollect

References:

1. Illyyne Saffar, Marie-Line Alberi-Morel, Kamal Deep Singh, César Viho. Deep Learning based Speed Profiling for Mobile Users in 5G Cellular Networks. IEEE Globecom, December 2019, Hawaii, USA

2. Illyyne Saffar, Marie-Line Alberi-Morel, Kamal Deep Singh, César Viho. Semi-supervised Deep Learning-based Methods for Indoor Outdoor Detection. IEEE International Conference on Communications (ICC), May 2019, Shangai, China.

3. Illyyne Saffar, Marie-Line Alberi-Morel, Kamal Deep Singh, César Viho. Machine Learning with partially labeled Data for Indoor Outdoor Detection. IEEE Annual Consumer Communications & Networking Conference (CCNC), Jan 2019, Las Vegas, United States.

Screenshots:

2) Below are some scripts and files used for teaching: