  Machine learning (ML) is included in Self-organizing Networks (SONs) that are
key drivers for enhancing the Operations, Administration, and Maintenance (OAM)
activities. It is included in the 5G Standalone (SA) system is one of the 5G
communication tracks that transforms 4G networking to next-generation
technology that is based on mobile applications. The research's main aim is to
an overview of machine learning (ML) in 5G standalone core networks. 5G
Standalone is considered a key enabler by the service providers as it improves
the efficacy of the throughput that edges the network. It also assists in
advancing new cellular use cases like ultra-reliable low latency communications
(URLLC) that supports combinations of frequencies.
