Nokia and China Mobile (CMCC) announced the successful completion of their live trials of artificial intelligence (AI) on the operator’s 5G radio access network (RAN).
The AI-based real-time user equipment (UE) was able to forecast bandwidth as well as to detect traffic anomalies with an accuracy of 90%.
The trial allowed China Mobile to introduce its i-wireless intelligent 5G network concept, which is designed to create a greener, smarter, and more effective 5G network. The RAN Intelligent Controller (RIC) can thus enable almost real-time control and optimization of RAN elements by using real-time data exposure and cross-layer perception capabilities with the help of AI and ML applications. Moreover, the RIC platform can also increase network optimization capabilities through policy-guided and closed-loop automation.
All of this should help advance the 5G RAN architecture while allowing a new range of intelligent data-driven, network automation, and optimization applications.
Nokia and CMRI are working together in order to design the trial solution, while the trial’s test specifications were defined by the China Mobile Research Institute, Shanghai Mobile, and Nokia.
Moreover, Nokia, Shanxi Mobile, and the China Mobile Research Institute also tested network anomaly detection technology. Bu using CMCC’s 4G/5G over more than 10,000 cells, the AI/ML technology assistant was able to detect network problems were detected more accurately and easily. This anomaly detection platform software architecture provides a distributed and split SW architecture and is suitable for non-real-time and near-real-time RIC deployment.
Thus, the AI/ML-powered anomaly detection solution should, in time, decrease the time needed to analyze issues and find the origin of it.