Self-healing and resiliency in radio-based networks using a community model

Abstract

Disclosed are various embodiments for improving self-healing and resiliency of radio-based networks through the use of a community model. In one embodiment, a community model graph representing a radio-based network is generated. Individual nodes of the community model graph correspond to one or more network functions of the radio-based network. Individual edges of the community model graph correspond to a respective network connection between the network function(s) of the radio-based network. The individual edges are assigned a respective measure of relative importance. An adverse health event is detected that impacts a plurality of network connections between network functions in the radio-based network. Self-healing activities for the network connections are prioritized based at least in part on the respective measures of relative importance corresponding to individual network connections.