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Researchers say deep learning will power 5G and 6G ‘cognitive radios’

Researchers say deep learning will power 5G and 6G ‘cognitive radios’

For decades, amateur two-way radio operators have communicated across entire continents by choosing the right radio frequency at the right time of day, a luxury made possible by having relatively few users and devices sharing the airwaves. But as cellular radios multiply in both phones and Internet of Things devices, finding interference-free frequencies is becoming more difficult, so researchers are planning to use deep learning to create cognitive radios that instantly adjust their radio frequencies to achieve optimal performance.

As explained by researchers with Northeastern University’s Institute for the Wireless Internet of Things, the increasing varieties and densities of cellular IoT devices are creating new challenges for wireless network optimization; a given swath of radio frequencies may be shared by a hundred small radios designed to operate in the same general area, each with individual signaling characteristics and variations in adjusting to changed conditions. The sheer number of devices reduces the efficacy of fixed mathematical models when predicting what spectrum fragments may be free at a given split second.