Telco AIOps for Enterprise 5G Graph-Based Observability and Predictive Root Cause Analysis
Keywords:
Enterprise 5G, Private 5G Networks, Telco AIOps, Graph-Based Observability, Dependency Graph Modeling, Predictive Analytics, Root Cause Analysis (RCA), Network Slicing, 5G Core, RAN Telemetry, Edge Computing (MEC)Abstract
The current methods for handling network problems become less effective for enterprise private 5G networks which grow larger and support more devices and provide various services. The implementation of network slicing together with cloud-native 5G core functions and distributed edge computing and multi-vendor ecosystems leads to intricate dependency relationships that affect the Radio Access Network (RAN) and transport and core and edge network components.
References
3GPP, System Architecture for the 5G System (5GS), TS 23.501, Rel.15,2018[Online]Available: https://www.etsi.org/deliver/etsi_ts/123500_123599/123501/15.03.00_60/ts_123501v150300p.pdf
Bhaskara Raju Rallabandi. (2022). DETERMINISTIC STABILITY ANALYSIS FOR PRODUCTION-LINE CONTROL OVER PRIVATE 5G. American Journal of AI Cyber Computing Management, 2(4), 33-37. https://doi.org/10.64751/ajaccm.2022.v2.n4.pp33-37
