DARPA thinks spectrum allocation challenges can be addressed through machine learning

Last week the Defense Advanced Research Projects Agency announced its latest “grand challenge,” which asks teams to develop smart systems that leverage machine learning to optimize available wireless spectrum. With a finite amount of spectrum and a growing number of connected devices, the public and private sector are experiencing a crunch to utilize under-used spectrum and share the available spectrum. “The agency’s Spectrum Collaboration Challenge will reward teams for developing smart systems that collaboratively, rather than competitively, adapt in real time to today’s fast-changing, congested spectrum environment – redefining the conventional spectrum management roles of humans and machines in order to maximize the flow of radio frequency signals,” said DARPA in an announcement Wednesday. The agency unveiled the challenge before some 8000 people at the International Wireless Communications Expo in Las…


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