SENSOR AND SELF-LEARNING BASED DYNAMIC FREQUENCY ASSIGNMENT FOR WIRELESS NETWORKS

摘要

Techniques for dynamically assigning frequency resources in a wireless network are discussed herein. For example, a network device can implement a self-organizing network to allocate frequency resources to a base station based on an availability of such frequency resources, as well as data indicating one or more conditions at a base station. The network device can receive information associated with the base station, such as load information, coverage information, capability information, interference information, and the like. In some examples, the network device can use a machine learning algorithm to select frequency resources from licensed bands, a Citizens Broadband Radio Service band, or unlicensed bands. Frequency resource allocation information can be used to configure the base station to facilitate wireless communications using such frequency resources. As the conditions at a base station change over time (e.g., hourly, daily, weekly, etc.), frequency resources can be allocated and deallocated at the base station.