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#News(IoTStack) [ via IoTGroup ]
Auto extracted Text……On Wednesday, 10 teams from industry and academia competed to fundamentally change how wireless communication systems will function.
The event was the sixth and final elimination round of the Spectrum Collaboration Challenge (SC2), the latest in a long line of DARPA grand challenges that have spurred development in emerging areas like self-driving cars, advanced robotics, and autonomous cybersecurity.
The challenge was prompted by the concern that the growing use of wireless technologies risks overcrowding the airwaves our devices use to talk to one another.
Traditionally, so-called radio spectrum hasn’t been allocated in the most efficient way.
The bands are then parceled out to different commercial and government entities for their exclusive use.
While the process helps services avoid interference with one another, whoever holds the rights to a bit of spectrum rarely uses all of it 100% of the time.
Spectrum is not only shared by commercial services; it also supports government and military communication channels that are critical for conducting missions and training operations.
To tackle this challenge, DARPA asked engineers and researchers to design a new type of communication device that doesn’t broadcast on the same frequency every time.
Instead, it uses a machine-learning algorithm to find the frequencies that are immediately available, and different devices’ algorithms work together to optimize spectrum use.
Rather than being distributed permanently to single, exclusive owners, spectrum is allocated dynamically and automatically in real time.
“We need to put the world of spectrum management onto a different technological base,” says Paul Tilghman, a program manager at DARPA, “and really move from a system today that is largely managed by people with pen and paper to a system that’s largely managed by machines autonomously—at machine time scales
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AutoTextExtraction by Working BoT using SmartNews 1.02976805238 Build 26 Aug 2019
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