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

A computer-implemented method, comprising:

• generating a community model graph representing a radio-based network, wherein 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 one or more network functions of the radio-based network, and the individual edges are assigned a respective measure of relative importance;
• selecting a particular network connection between the one or more network functions based at least in part on the respective measure of relative importance of the particular network connection;
• and
• implementing an action with respect to the particular network connection to increase resiliency of the radio-based network.

A computer-implemented method, comprising:

• generating a community model graph representing a radio-based network, wherein 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 one or more network functions of the radio-based network, and the individual edges are assigned a respective measure of relative importance;
• detecting an adverse health event impacting a plurality of network connections between network functions in the radio-based network;
• and
• prioritizing self-healing activities for the plurality of network connections based at least in part on the respective measures of relative importance corresponding to individual ones of the plurality of network connections.