Security News > 2020 > June > A math formula could help 5G networks efficiently share communications frequencies

Researchers at the National Institute of Standards and Technology have developed a mathematical formula that, computer simulations suggest, could help 5G and other wireless networks select and share communications frequencies about 5,000 times more efficiently than trial-and-error methods.

NIST engineer Jason Coder makes mathematical calculations for a machine learning formula that may help 5G and other wireless networks select and share communications frequencies efficiently.

The formula could be programmed into software on transmitters in many types of real-world networks.

The formula enables transmitters to rapidly select the best subchannels for successful and simultaneous operation of Wi-Fi and LAA networks in unlicensed bands.

The formula is a Q-learning technique, meaning it maps environmental conditions - such as the types of networks and numbers of transmitters and channels present - onto actions that maximize a value, known as Q, that returns the best reward.

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