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arXiv · 2507.17843

Optimizing Edge Gaming Slices through an Enhanced User Plane Function and Analytics in Beyond-5G Networks

Bruno Marques da Silva·Larissa Ferreira Rodrigues Moreira·Flávio de Oliveira Silva·Rodrigo Moreira
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Abstract

The latest generation of games and pervasive communication technologies poses challenges in service management and Service-Level Agreement compliance for mobile users. State-of-the-art edge-gaming techniques enhance throughput, reduce latency, and leverage cloud computing. However, further development of core functions such as the User Plane Function (UPF) is needed for non-intrusive user latency measurement. This paper proposes a closed-loop architecture integrating the Network Data Analytics Function (NWDAF) and UPF to estimate user latency and enhance the 5G control plane by making it latency-aware. The results show that embedding an artificial intelligence model within NWDAF enables game classification and opens new avenues for mobile edge gaming research.

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Bruno Marques da Silva, Larissa Ferreira Rodrigues Moreira, Flávio de Oliveira Silva, Rodrigo Moreira. 2025-07-23. Optimizing Edge Gaming Slices through an Enhanced User Plane Function and Analytics in Beyond-5G Networks. https://doi.org/10.5753/wpeif.2025.8714

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