The ETSI ENI system introduces a hierarchical closed control loop based on an extended Observe-Orient-Decide-Act model to enable context-aware, data-driven decision-making for complex 5G infrastructure. This cognitive architecture allows the system to adapt to changing user needs and business goals by modeling human decision-making processes, including perception, comprehension, and action. By incorporating reactive, deliberative, and reflective processes, the system achieves autonomic behavior and experiential learning to optimize operations such as reconfiguring 5G network slices. The associated white paper details these cognitive models and highlights recent proof-of-concept projects demonstrating the technology’s practical application.
Keywords: cognitive architecture, closed control loops, context awareness, autonomic behavior, 5G slice reconfiguration