Cisco Technology, Inc.

Michael B Delong

Ashish Pasha Sheikh

Evgeny Yankevich

Federico Lovison

Techniques for identifying potentially interfering wireless incumbents are disclosed. These techniques include receiving, from an electronic repository, a list of one or more wireless devices operating in a wireless communication band used by a wireless communication network. The list is selected from a plurality of wireless devices operating in the wireless communication band, based on a geographical location relating to the wireless communication network. The techniques further include scanning a plurality of radio channels relating to the wireless communication band, and identifying an interfering device for the wireless communication network based on comparing spectral data from the scanning with data in the list of one or more wireless devices.

Interference classification of wireless incumbents using spectral analysis and AFC query

Techniques for classification of wireless signals are disclosed. These techniques include receiving data describing radio frequency characteristics of a wireless network transmission environment and presenting the data for display on a graphical user interface (GUI) associated with a network device in the wireless network. The techniques further include receiving input from the GUI identifying one or more portions of the data, and training a machine learning (ML) model to classify an interferer in the wireless network transmission environment based on the identified one or more portions of the data.

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Macedonia, OH, United States of America

Michael B Delong