The disclosed technology relates to a process of dynamically assigning operational parameters for access points within a CBRS (Citizen Broadband Radio Service) network. In particular, the disclosed technology monitors for and detects interference between nearby access points and user equipment devices that may belong to the same enterprise or to different enterprises. Machine learning processes are used to revise the operational parameters that were initially assigned by the Spectrum Access System (SAS). These processes are also used to suggest an updated set of operational parameters to the SAS for the access points. The dynamic assignment reduces interference experienced by the access point with respect to nearby other access points and/or nearby other user equipment. The dynamic assignment aims to improve a quality of communication between the access point and its associated user equipment.
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