Overview
The DARPA Spectrum Collaboration Challenge (SC2) was the first-of-its-kind collaborative machine-learning competition to overcome scarcity in the radio frequency (RF) spectrum. Our team built a real-time wireless system leveraging Artificial Intelligence to access the spectrum without interfering with other signals.
Key Achievements
- Built a real-time wireless system that leverages Artificial Intelligence for spectrum access
- Cooperated with the research group from Northwestern University
- Qualified for Preliminary Event 1 & 2 (PE1 & PE2)
- Presented at events hosted in Johns Hopkins University Applied Physics Laboratory
Technical Approach
The challenge involved developing collaborative radio systems that could share spectrum efficiently without causing interference. Our system utilized machine learning algorithms to:
- Detect and classify nearby signals
- Dynamically adjust transmission parameters
- Negotiate spectrum usage with other systems in real-time
Impact
This project demonstrated the potential of AI-driven spectrum sharing to revolutionize wireless communications and address the growing spectrum scarcity problem.