Supervised Wireless Communication: An Analytic Framework for Real-Time Model Inference in the Core NetworkRekha Reddy; Yorman Munoz; Christoph Lipps; Hans Dieter Schotten
In: Proceedings of the Sixth International Balkan Conference on Communications and Networking. International Balkan Conference on Communications and Networking (BalkanCom-2023), Towards 6G at the Crossroads of Civilizations: Connected Intelligence and Sensing, June 5-8, Istanbul, Turkey, IEEE Xplore, 6/2023.
The base for providing intelligent management is evolving towards Beyond 5G (B5G) and Sixth Generation (6G) networks. The increasing demand for data traffic, and the deployment of a significant number of network slices, create an essential need to improve the performance of resource utilization and allocation. Deployment strategies for real-time network optimization become challenging with the trends in heterogeneity and diversity. This work proposes the Fifth Generation (5G) wireless communication’s real-time prediction framework by analyzing the traffic of each Network Function (NF) in the Core Network (CN) architecture, simulated in a containerized infrastructure. Based on a varying range of hyperparameters, regressive training is conducted, and an optimal model is chosen for the inference phase through model tracking and registry support. During the real-time prediction stage, if the comparison results in a larger difference, a messaging system is implemented to notify a specific authority for further investigation. Finally, the experimental result shows the feasibility of this proposal to forecast with high accuracy.