AI used to bring stable satellite internet to remote areas

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Rural and remote areas in Canada use satellite internet but the connection is often fraught with complications. A new machine learning method may fix that.

“For remote areas in Canada and around the world, satellites are often their best option for maintaining internet access,” said Peng Hu, an adjunct professor of computer science and statistics and actuarial science at Waterloo and the corresponding author of the study.

Three global data sets were used to test the new method: Soil Moisture Active Passive , Mars Science Laboratory rover , and Server Machine Dataset . “Satellite network systems are going to be more and more important in the future,” Hu said. “This research will help us to design more reliable, resilient, and secure satellite systems.”In order to link people to the internet, satellite internet makes use of satellites that are orbiting the Earth. These systems are especially useful in locations without access to or where it is not financially feasible to install standard broadband infrastructures such as cable or DSL.

 

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