Systems and methods for modification of radio access network parameters based on channel propagation models generated using machine learning techniques

Abstract

A system described herein may provide for the use of artificial intelligence/machine learning ('AI/ML') techniques to generate models for various locations or regions (e.g., sectors) associated with one or more radio access networks ('RANs') of a wireless network. The system may further use AI/ML techniques to generate interference models to reflect types and/or amounts of channel propagation metrics measured within the RAN. The system may further determine, based on attributes of a given sector, a sector model and/or a channel propagation model associated with the sector. Based on the sector model and/or the determined channel propagation model, one or more actions may be determined in order to enhance channel propagation metrics within the sector, such as at portions of the sector at which increased demand for wireless service is detected.