Get our free email newsletter

NIST Model Develops Spectrum Sharing Model

The U.S. National Institute of Standards and Technology (NIST) has reportedly developed an innovative modeling technique to assist developers in the configuration of wireless communications devices to share transmission frequencies more efficiently.

According to an article posted on the NIST website, the new model reduces the number of measurements needed to determine the most reliable wireless configurations. Under testing, the use of the model results in a significant reduction in the number of required measurements, potentially by as much as 33%.

NIST says that the model was developed specifically for two-way coexistent testing, which is intended to evaluate two separate wireless systems under various transmission scenarios to identify the configurations that allow both systems to meet essential performance requirements. The model uses a sequential series of experiments that select a transmission configuration based on a limited set of previously collected coexistence data.

- Partner Content -

EMC & eMobility

For a company embarking on EMC testing for either component or vehicle-level testing of their EV products, it is necessary first to have a good understanding of the EMC regulatory situation.

The NIST spectrum sharing model should be useful for testing up to 10 devices operating simultaneously. And NIST researchers are reportedly using machine learning and artificial intelligence (AI) technologies to investigate other spectrum sharing modeling techniques.

Read the article on NIST’s model for spectrum sharing.

Related Articles

Digital Sponsors

Become a Sponsor

Discover new products, review technical whitepapers, read the latest compliance news, trending engineering news, and weekly recall alerts.

Get our email updates

What's New

- From Our Sponsors -

Sign up for the In Compliance Email Newsletter

Discover new products, review technical whitepapers, read the latest compliance news, trending engineering news, and weekly recall alerts.