SYSTEMS AND METHODS FOR INTERFERENCE MANAGEMENT IN A RADIO ACCESS NETWORK

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 radio frequency (“RF”) interference measured within the RAN. The system may further determine, based on received RF metrics for a given sector, a particular interference model associated with the sector. Based on a sector model associated with the sector and the determined interference model, one or more actions may be determined in order to remediate any potential interference associated with the sector or surrounding sectors.