Patent ID: 11438770

Abstract:
A method and apparatus for predicting channel availability in a spectrum-controlled network such as a Citizen's Band Radio Service (CBRS) network. The Base Stations/Access Points (BS/APs) and Domain Proxy monitor operating channels at an enterprise location and provide time series data. The data is analyzed, and patterns are identified in the collected channel availability data using Artificial Intelligence (AI) techniques. Channel availability is predicted using AI techniques, including one or more target channels and termination times. The network channels are reorganized to define a network reconfiguration that avoids the target channel, and pre-emptively reallocated. The enterprise network provides feedback regarding prediction accuracy, which is utilized in a machine learning process to modify the models and provide greater prediction accuracy. In some embodiments a plurality of enterprise networks provide channel availability and geographical data to a centralized provider network, where it is utilized to make predictions.