EE/CSE - Best Wi-Fi AP Project
With the explosion of wireless devices, the radio spectrum has become a highly constrained resource. We bridge the gap between wireless engineering and public policy through real-world spectrum measurements. By analyzing actual usage patterns and performance limits, our lab provides the critical data that policymakers and industry leaders need to build a faster, more accessible wireless future.
We are seeking motivated students interested in real-world spectrum measurement and wireless networking, with a specific focus on Wi-Fi systems. This project investigates the key parameters that drive a device's choice of Access Point (AP) and evaluates how the selected AP performs relative to nearby alternatives. Students will design experimental protocols and write automation scripts on a Raspberry Pi to capture indoor signal data, then process and analyze the resulting datasets using Python tools such as Jupyter, Pandas, and NumPy.
This project gives students hands-on experience with wireless research and analysis using real-world Wi-Fi datasets. Students will gain experience with end-to-end data cycle: retrieving real-world data, processing it for analysis (cleaning, transforming, and engineering features), as well as data analysis and modeling. This project will also be published, giving students exposure to technical writing and academic publishing process.