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Industry & alumni


Wireless Broadband Service Quality Prediction App

This student team worked to design and test a system comprised of a simple, customer "do-it-yourself" tool embodied as an Android app. This app reads low and FDD mid-band signal quality being experienced in the home and, using a machine learning based model, predicts service quality for the higher TDD mid-bands. Through this, the app can tell the internet speed the customer can expect from the T-Mobile Home Device before subscribing to it.

Faculty Adviser

Payman Arabshahi, Associate Professor, UW ECE, Electrical & Computer Engineering

Anthony Goodson, Affiliate Professor, Electrical & Computer Engineering


Mengying Yuan
Sourav Jena
Sumant Guha
Winston Sun
Yinuo Chen