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DARPA’s Latest Grand Challenge Takes On The Radio Spectrum

An anonymous reader quotes a report from Gizmag: One of the most hotly contested bits of real estate today is one you can’t see. As we move into an increasingly wireless-connected world, staking out a piece of the crowded electromagnetic spectrum becomes more important. DARPA is hoping to help solve this issue with its latest Grand Challenge, which calls for the use of machine-learning technologies to enable devices to share bandwidth.
The Spectrum Collaboration Challenge (SC2) is based on the idea that wireless devices would work better if they cooperated with one another rather than fought for bandwidth. Since not all devices are active at all times, the agency says, it should be possible through the use of artificial intelligence machine-learning algorithms to allow them to figure out how to share the spectrum with a minimum of conflict. DARPA announced the competition in front of 8000 engineers on Wednesday at the International Wireless Communications Expo (IWCE) in Las Vegas. SC2 will run from 2017 through 2020 with teams competing to create radios that can collaborate most effectively with other radios. The competition will end with a live event and the prize is $2 million.


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