EE/CSE - Wi-Fi Visualization in SigCap Data Platform
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 to create new analytical pipelines on the SigCap Data Platform to provide easier multi-year Wi-Fi signal analysis. The project utilizes a Django framework inside a Docker container, and students are expected to implement new features and visualization in this environment.
Furthermore, the analysis will be used to answer the following research questions:
- How has Wi-Fi deployment evolved throughout the years, in terms of standards and spectrum band utilization?
- Are there any difference in deployments of enterprise vs. consumer-grade Wi-Fi access points?
- How does different spectrum deployment strategies affected real-world Wi-Fi deployments between countries?
This project gives students hands-on computer engineering experience with wireless data in a collaboration setting. Students will gain experience with end-to-end large 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.