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.
@article{arxiv.2507.17843,
title = {Optimizing Edge Gaming Slices through an Enhanced User Plane Function and Analytics in Beyond-5G Networks},
author = {Bruno Marques da Silva and Larissa Ferreira Rodrigues Moreira and Flávio de Oliveira Silva and Rodrigo Moreira},
journal= {arXiv preprint arXiv:2507.17843},
year = {2025}
}