K–12 summer workshop: hear an FR3 link
Students and their science teachers see AI-empowered FR3 communication up close. In a hands-on demo, music from a phone travels over an FR3 radio link that bounces off a metallic reflector array:
- A phone's audio output drives the transmitter
- The audio modulates an FR3 carrier
- The signal reflects off a metallic reflector array
- The receiver turns it back into sound for a speaker
A second demo shows AI at work, predicting in real time whether the link is about to go on or off. Live demos also run at the project's annual workshop at Texas A&M. This builds on the investigators' long-running K–12 outreach programs.
Student training
Ph.D. students, postdoctoral researchers, and undergraduates in the U.S. and Finland gain a strong foundation in wireless communications and AI. Computer science students at Tennessee Tech work alongside electrical and computer engineering students at the partner institutions to collect channel data and to build and validate AI models.
International exchange
Students visit partner labs for hands-on testbed work. For example, Tennessee Tech students travel to Texas A&M and Tampere University for testbed deployment and channel measurements. Investigators co-advise across institutions.
In the classroom
Project datasets become course projects on robust AI, for example in Data Mining and AI (CSC 4220/5220) at Tennessee Tech. The team will also seek Research Experiences for Undergraduates (REU) support to involve more undergraduates.
Annual workshop
Each year the team meets for a two-day, in-person workshop to present results and plan ahead, with student presentations and live demos. The investigators also meet online every two weeks.
Sharing results
Results will appear in leading venues such as the IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, and the IEEE Internet of Things Journal. The team will also run tutorials and special issues. Measured and synthetic datasets will be released openly; see Datasets.