Abstract
Described herein is a Session Management Function Management Function (SMF-MF) that can provide a unified, intelligent system for optimizing performance across Any-G networks. By leveraging subscriber-level data and real-time network analytics, the SMF-MF can enable AI-driven load balancing and seamless session management while significantly reducing signaling overhead. The disclosed architecture may provide a centralized and future-ready approach to gateway selection that bridges operational differences between Long-Term Evolution (LTE) and Fifth Generation (5G) environments.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Fajri, Anthony Maswan and Askerup, Anders, "DYNAMIC GATEWAY ASSIGNMENT FOR A PROGRAMMABLE CORE IN ANY-G NETWORKS", Technical Disclosure Commons, (May 27, 2026)
https://www.tdcommons.org/dpubs_series/10261