Vanderbilt University's MarmotE team has won the first round of the U.S. Defense Advanced Research Projects Agency's (DARPA) Spectrum Collaboration Challenge (SC2). SC2 focuses on using machine intelligence to efficiently allocate bands for use on the radio frequency spectrum, and competitors faced fluctuating bandwidths and interference from other competitors along with DARPA-designed bots that tested and challenged their radio designs.
Radio performance was judged according to its collaborative spectrum-sharing abilities, and the competition determined when two radio networks were asked to share the spectrum, the top-performing teams could adapt their spectrum utilization so both networks could successfully transmit with minimal interference.
"Central management of the spectrum is simply not scalable and pretty wasteful, but ad-hoc sharing as implemented in Wi-Fi is not working either," says Vanderbilt professor Miklos Maroti. "The best solution to spectrum management would be a combination of distributed cooperation and adaptation driven by the latest advances of machine learning."
From Vanderbilt University
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