[CLOSED] [HOME_NW_001] Efficient activation of small cells in 5G networks 

In order to face the continuous increase in the cellular data traffic, the envisioned 5G network is foreseen to have a grid of densely deployed small cells to underlay de legacy macro-cellular network. In order to maintain low cost, the small cells are desired to be self-organized and energy efficient. The goal of this internship is to explore the mechanisms to efficiently activate/deactivate the small cells, knowing that the information required (e.g., available energy, number of potential users) to make the best choice is difficult to acquire and therefore limited.

Skills : Networking, at least one programming language (e.g. Python, C++), Knowledge of OpenAirInterface and Game Theory would be a plus

Keywords : 5G networks, cellular networks, ultra-dense networks, small cells.

 

This internship is located in Rennes, France. If interested, please apply at stage.technicolor@technicolor.com by sending us your resume and a cover letter with the internship reference in the email subject line.

[OPEN] [HOME_DM_NW_052] Learning of in home device behaviour through experimental analysis 

In the context of Wi-Fi full home coverage solutions that are emerging on the market, multiple access points (AP) are installed in homes and user devices automatically select the best AP to use (typically the one with the strongest signal). However, this selection is not optimal under certain situations. The goal of the internship is to characterize Wi-Fi devices to improve an algorithm that enables to find the best configuration whatever the home environment. In a first step, roaming behaviors of mobile devices will be captured in our lab testbed to build a dataset. The idea is to collect in a controlled environment data related to operational Wi-Fi behavior of a large set of devices. In a second step, characterization of devices and their behavior will be conducted on the experimental data by using different technologies such as unsupervised learning (clustering, …), probabilistic modeling using mixture/topic models or hypothesis testing

Skills : Machine learning (Clustering, …), Notion of wireless networking, Scikit-learn, Python, Linux (Raspberry Pi)

Keywords : Machine Learning, Statistical Analysis, wireless whole home coverage (Wi-Fi), device behaviour characterization

 

This internship is located in Rennes, France. If interested, please apply at stage.technicolor@technicolor.com by sending us your resume and a cover letter with the internship reference in the email subject line.