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

• Bruno Marques da Silva UFV
• Larissa Ferreira Rodrigues Moreira UFV https://orcid.org/0000-0001-8947-9182
• Flávio de Oliveira Silva UMinho https://orcid.org/0000-0001-7051-7396
• Rodrigo Moreira UFV https://orcid.org/0000-0002-9328-8618

DOI: https://doi.org/10.5753/wpeif.2025.8714

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.

Keywords: Edge gaming, Network latency, Beyond-5G networks, Artificial Intelligence, Quality of experience (QoE)

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